
. 
. *------------------------------*
. * 1) Load analysis dataset
. *------------------------------*
. capture confirm file "pooled_data.xlsx"

. if _rc {
.     di as err "ERROR: Could not find pooled_data.xlsx"
.     di as err "Make sure it is in the same folder as this do-file."
.     exit 601
. }

. 
. import excel "pooled_data.xlsx", sheet("Sheet1") firstrow clear
(190 vars, 10,223 obs)

. 
. * Quick sanity check
. describe

Contains data
 Observations:        10,223                  
    Variables:           190                  
----------------------------------------------------------------------------------------------------------------------------------------------------------
Variable      Storage   Display    Value
    name         type    format    label      Variable label
----------------------------------------------------------------------------------------------------------------------------------------------------------
sample          str9    %9s                   sample
year            int     %10.0g                year
age             double  %10.0g                age
male            byte    %10.0g                male
white           byte    %10.0g                white
black           byte    %10.0g                black
hispanic        byte    %10.0g                hispanic
otherrace       byte    %10.0g                otherrace
race            byte    %10.0g                race
income          double  %10.0g                income
education       double  %10.0g                education
ipaddress       double  %10.0g                ipaddress
zip             str5    %9s                   zip
state           str2    %9s                   state
region          byte    %10.0g                region
south           byte    %10.0g                south
pid             double  %10.0g                pid
ideo            double  %10.0g                ideo
auth1           double  %10.0g                auth1
auth2           double  %10.0g                auth2
auth3           double  %10.0g                auth3
auth4           double  %10.0g                auth4
auth5           byte    %10.0g                auth5
auth6           byte    %10.0g                auth6
auth7           byte    %10.0g                auth7
auth8           byte    %10.0g                auth8
auth_scale      double  %10.0g                auth_scale
consc1          double  %10.0g                consc1
consc2          double  %10.0g                consc2
consc3          double  %10.0g                consc3
consc_scale     double  %10.0g                consc_scale
open1           double  %10.0g                open1
open2           double  %10.0g                open2
open3           double  %10.0g                open3
open4           double  %10.0g                open4
open5           double  %10.0g                open5
open6           double  %10.0g                open6
open_scale      double  %10.0g                open_scale
rwa1            double  %10.0g                rwa1
rwa2            double  %10.0g                rwa2
rwa3            double  %10.0g                rwa3
rwa4            double  %10.0g                rwa4
rwa5            double  %10.0g                rwa5
rwa6            double  %10.0g                rwa6
rwa7            double  %10.0g                rwa7
rwa8            double  %10.0g                rwa8
rwa9            double  %10.0g                rwa9
rwa10           double  %10.0g                rwa10
rwa11           double  %10.0g                rwa11
rwa12           double  %10.0g                rwa12
rwa13           double  %10.0g                rwa13
rwa14           double  %10.0g                rwa14
rwa15           double  %10.0g                rwa15
rwa16           double  %10.0g                rwa16
rwa17           double  %10.0g                rwa17
rwa18           double  %10.0g                rwa18
rwa_scale       double  %10.0g                rwa_scale
authority       double  %10.0g                authority
purity          double  %10.0g                purity
loyalty         double  %10.0g                loyalty
loyal2          double  %10.0g                loyal2
care            double  %10.0g                care
care2           double  %10.0g                care2
fairness        double  %10.0g                fairness
fair2           double  %10.0g                fair2
individualizing double  %10.0g                individualizing
binding         double  %10.0g                binding
nfs1            double  %10.0g                nfs1
nfs2            double  %10.0g                nfs2
nfs3            double  %10.0g                nfs3
nfs4            double  %10.0g                nfs4
nfs5            double  %10.0g                nfs5
nfs6            double  %10.0g                nfs6
nfs7            double  %10.0g                nfs7
nfs8            double  %10.0g                nfs8
nfs9            double  %10.0g                nfs9
nfs10           double  %10.0g                nfs10
nfs11           double  %10.0g                nfs11
nfs12           double  %10.0g                nfs12
nfs_scale       double  %10.0g                nfs_scale
polint1         double  %10.0g                polint1
polint2         double  %10.0g                polint2
polint3         double  %10.0g                polint3
polint4         double  %10.0g                polint4
polint5         double  %10.0g                polint5
polint6         double  %10.0g                polint6
polint_scale    double  %10.0g                polint_scale
polknow1        byte    %10.0g                polknow1
polknow2        byte    %10.0g                polknow2
polknow3        byte    %10.0g                polknow3
polknow4        byte    %10.0g                polknow4
polknow5        byte    %10.0g                polknow5
polknow6        byte    %10.0g                polknow6
polknow7        byte    %10.0g                polknow7
polknow8        byte    %10.0g                polknow8
polknow_scale   double  %10.0g                polknow_scale
polengage_scale double  %10.0g                polengage_scale
dv_travel       byte    %10.0g                dv_travel
dv_work_home    byte    %10.0g                dv_work_home
dv_wash_hands   byte    %10.0g                dv_wash_hands
dv_avoid_dine   byte    %10.0g                dv_avoid_dine
dv_cancel_event byte    %10.0g                dv_cancel_event
dv_sanitize     byte    %10.0g                dv_sanitize
dv_distancing1  double  %10.0g                dv_distancing1
dv_distancing2  double  %10.0g                dv_distancing2
dv_distancing   double  %10.0g                dv_distancing
dv_masking1     double  %10.0g                dv_masking1
dv_masking2     double  %10.0g                dv_masking2
dv_masking      double  %10.0g                dv_masking
dv_vaxstatus    double  %10.0g                dv_vaxstatus
dv_behavior     double  %10.0g                dv_behavior
dv_concern      double  %10.0g                dv_concern
dv_businesses   double  %10.0g                dv_businesses
dv_tracking     double  %10.0g                dv_tracking
dv_lockdowns    double  %10.0g                dv_lockdowns
dv_mmindoors    double  %10.0g                dv_mmindoors
dv_mmoutdoors   double  %10.0g                dv_mmoutdoors
dv_maskmandates double  %10.0g                dv_maskmandates
dv_vaxmandate   double  %10.0g                dv_vaxmandate
dv_staterestr~t byte    %10.0g                dv_staterestrict
dv_cancelevents double  %10.0g                dv_cancelevents
dv_schools      double  %10.0g                dv_schools
dv_workhome     double  %10.0g                dv_workhome
dv_travelrest   double  %10.0g                dv_travelrest
dv_stayhome     double  %10.0g                dv_stayhome
dv_testingreq   double  %10.0g                dv_testingreq
dv_restrictions double  %10.0g                dv_restrictions
vax1            double  %10.0g                vax1
vax2            double  %10.0g                vax2
vax3            double  %10.0g                vax3
vax4            double  %10.0g                vax4
vax5            double  %10.0g                vax5
vax_scale       double  %10.0g                vax_scale
infected        str11   %11s                  infected
latentnsc1      double  %10.0g                latentnsc1
latentnsc2      double  %10.0g                latentnsc2
race_num        byte    %10.0g                race_num
sample_num      byte    %10.0g                sample_num
state_num       byte    %10.0g                state_num
state_1         double  %10.0g                state_1
state_2         double  %10.0g                state_2
state_3         double  %10.0g                state_3
state_4         double  %10.0g                state_4
state_5         double  %10.0g                state_5
state_6         double  %10.0g                state_6
state_7         double  %10.0g                state_7
state_8         double  %10.0g                state_8
state_9         double  %10.0g                state_9
state_10        double  %10.0g                state_10
state_11        double  %10.0g                state_11
state_12        double  %10.0g                state_12
state_13        double  %10.0g                state_13
state_14        double  %10.0g                state_14
state_15        double  %10.0g                state_15
state_16        double  %10.0g                state_16
state_17        double  %10.0g                state_17
state_18        double  %10.0g                state_18
state_19        double  %10.0g                state_19
state_20        double  %10.0g                state_20
state_21        double  %10.0g                state_21
state_22        double  %10.0g                state_22
state_23        double  %10.0g                state_23
state_24        double  %10.0g                state_24
state_25        double  %10.0g                state_25
state_26        double  %10.0g                state_26
state_27        double  %10.0g                state_27
state_28        double  %10.0g                state_28
state_29        double  %10.0g                state_29
state_30        double  %10.0g                state_30
state_31        double  %10.0g                state_31
state_32        double  %10.0g                state_32
state_33        double  %10.0g                state_33
state_34        double  %10.0g                state_34
state_35        double  %10.0g                state_35
state_36        double  %10.0g                state_36
state_37        double  %10.0g                state_37
state_38        double  %10.0g                state_38
state_39        double  %10.0g                state_39
state_40        double  %10.0g                state_40
state_41        double  %10.0g                state_41
state_42        double  %10.0g                state_42
state_43        double  %10.0g                state_43
state_44        double  %10.0g                state_44
state_45        double  %10.0g                state_45
state_46        double  %10.0g                state_46
state_47        double  %10.0g                state_47
state_48        double  %10.0g                state_48
state_49        double  %10.0g                state_49
state_50        double  %10.0g                state_50
state_51        double  %10.0g                state_51
----------------------------------------------------------------------------------------------------------------------------------------------------------
Sorted by: 
     Note: Dataset has changed since last saved.

. summarize

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
      sample |          0
        year |     10,223    2020.022    .9777955       2016       2021
         age |      9,666    .4202272    .2116944          0          1
        male |      9,681    .4680302    .4990027          0          1
       white |      9,898    .7424732     .437294          0          1
-------------+---------------------------------------------------------
       black |      9,898    .0975955    .2967819          0          1
    hispanic |      9,933     .094332    .2923048          0          1
   otherrace |      9,928    .0746374    .2628186          0          1
        race |      9,898    1.221358    .7016202          0          3
      income |      9,075    .4402077    .2888247          0          1
-------------+---------------------------------------------------------
   education |      9,926    .5661394    .2879624          0          1
   ipaddress |      5,394    2.24e+10    4.18e+10     656954   2.17e+11
         zip |          0
       state |          0
      region |      9,934    5.083249    2.471791          1          9
-------------+---------------------------------------------------------
       south |     10,223     .361929    .4805819          0          1
         pid |      9,462    .4484792    .3742852          0          1
        ideo |      9,520    .5003326    .2821105          0          1
       auth1 |      8,673    .5650294    .4773253          0          1
       auth2 |      8,671    .5611233    .4802446          0          1
-------------+---------------------------------------------------------
       auth3 |      8,667     .509115    .4815162          0          1
       auth4 |      8,644    .3737853    .4639372          0          1
       auth5 |      3,241    .5350201    .4988491          0          1
       auth6 |      2,225    .6759551    .4681221          0          1
       auth7 |      2,224    .2697842    .4439474          0          1
-------------+---------------------------------------------------------
       auth8 |      2,224    .3830935    .4862501          0          1
  auth_scale |      8,838    .4921391     .320342          0          1
      consc1 |      1,046    .6474665    .3219495          0          1
      consc2 |      1,046    .6037285    .3253566          0          1
      consc3 |      1,046    .8236138    .2164453          0          1
-------------+---------------------------------------------------------
 consc_scale |      1,046    .6916029    .2276615          0          1
       open1 |      1,046    .7155832    .2959228          0          1
       open2 |      1,046    .6355163    .3060054          0          1
       open3 |      1,046    .6955067    .2551271          0          1
       open4 |      1,045    .6366029    .3213544          0          1
-------------+---------------------------------------------------------
       open5 |      1,046    .7256214    .2529791          0          1
       open6 |      1,046    .6794933    .3154516          0          1
  open_scale |      1,046    .6814054    .2008386          0          1
        rwa1 |        909    .5453795    .3140709          0          1
        rwa2 |        908    .4443833    .3066991          0          1
-------------+---------------------------------------------------------
        rwa3 |        909    .4312431    .2953433          0          1
        rwa4 |        906     .544702    .3009003          0          1
        rwa5 |        906    .4936534    .2975981          0          1
        rwa6 |        907     .356946    .2714348          0          1
        rwa7 |        906     .433223    .2725164          0          1
-------------+---------------------------------------------------------
        rwa8 |        907    .5060639     .307363          0          1
        rwa9 |        907    .3944322    .3469822          0          1
       rwa10 |        906    .3899007     .308185          0          1
       rwa11 |        907    .5214994    .3181517          0          1
       rwa12 |        907    .3613561    .3212542          0          1
-------------+---------------------------------------------------------
       rwa13 |        902    .4512195    .2723957          0          1
       rwa14 |        900    .5211111    .2945064          0          1
       rwa15 |        905    .4372928    .2765321          0          1
       rwa16 |        902    .5072062    .3047955          0          1
       rwa17 |        902    .4581486    .2977116          0          1
-------------+---------------------------------------------------------
       rwa18 |        904    .5110619     .301141          0          1
   rwa_scale |        909    .4618155    .1869296          0          1
   authority |      1,046    .4602294    .2917782          0          1
      purity |      1,046    .5891013    .3011871          0          1
     loyalty |      1,046    .5017208    .3171296          0          1
-------------+---------------------------------------------------------
      loyal2 |        547    .5334552    .2791201          0          1
        care |      1,046    .7114723     .253742          0          1
       care2 |        547    .7224863    .2390205          0          1
    fairness |      1,046    .7239006    .2482908          0          1
       fair2 |        547    .7363803    .2481656          0          1
-------------+---------------------------------------------------------
individual~g |      1,046    .7176864    .2236342          0          1
     binding |      1,046    .5170172    .2530944          0          1
        nfs1 |        547    .6602681    .2452431          0          1
        nfs2 |        547    .6532602    .2427689          0          1
        nfs3 |        547    .4494211    .2505208          0          1
-------------+---------------------------------------------------------
        nfs4 |        547    .7071907     .212149          0          1
        nfs5 |        547    .5877514    .2707003          0          1
        nfs6 |        547    .6956124    .2185092          0          1
        nfs7 |        547    .5374771    .2841762          0          1
        nfs8 |        547    .5597197    .2614658          0          1
-------------+---------------------------------------------------------
        nfs9 |        547    .6407678    .2464431          0          1
       nfs10 |        547     .686167     .238333          0          1
       nfs11 |        547    .6237051    .2479725          0          1
       nfs12 |        547    .5286411    .2662931          0          1
   nfs_scale |        547    .6108318    .1562858   .0833333          1
-------------+---------------------------------------------------------
     polint1 |      8,966    .7321362    .3042708          0          1
     polint2 |      8,510     .701494    .3196247          0          1
     polint3 |      4,748    .7479641    .2842968          0          1
     polint4 |      3,705    .8405758    .2598261          0          1
     polint5 |      3,459    .8330924    .2594371          0          1
-------------+---------------------------------------------------------
     polint6 |      3,710    .8579515      .24595          0          1
polint_scale |      8,994    .7129823    .2848556          0          1
    polknow1 |      8,472    .6962937    .4598845          0          1
    polknow2 |      8,481     .744016    .4364386          0          1
    polknow3 |      8,480    .7207547    .4486548          0          1
-------------+---------------------------------------------------------
    polknow4 |      9,280    .7272629    .4453908          0          1
    polknow5 |      9,282    .7772032    .4161455          0          1
    polknow6 |      7,250    .6113103    .4874862          0          1
    polknow7 |      6,234    .7584216    .4280744          0          1
    polknow8 |      2,752    .5864826    .4925535          0          1
-------------+---------------------------------------------------------
polknow_sc~e |      9,288    .7040614    .2874341          0          1
polengage_~e |      9,941    .7047667    .2533009          0          1
   dv_travel |      1,906    .7423924    .4374315          0          1
dv_work_home |      1,897    .6678967     .471092          0          1
dv_wash_ha~s |      1,938    .9375645    .2420073          0          1
-------------+---------------------------------------------------------
dv_avoid_d~e |      1,929    .8227061    .3820163          0          1
dv_cancel_~t |      1,913    .7909043    .4067692          0          1
 dv_sanitize |      1,922    .9391259    .2391614          0          1
dv_distanc~1 |      2,056    .7189932    .2797599          0          1
dv_distanc~2 |      2,055    .6698297    .3153254          0          1
-------------+---------------------------------------------------------
dv_distanc~g |      4,993    .7745594    .3186998          0          1
 dv_masking1 |      2,052    .7023635     .329299          0          1
 dv_masking2 |      2,051    .5102389    .3719822          0          1
  dv_masking |      4,982    .7967433    .3069145          0          1
dv_vaxstatus |      2,040    .6776961    .4502384          0          1
-------------+---------------------------------------------------------
 dv_behavior |      5,004    .7652523    .2530405          0          1
  dv_concern |      6,483    .5753226    .3276629          0          1
dv_busines~s |      6,866    .6410331    .3533421          0          1
 dv_tracking |      3,095    .3156166    .3433115          0          1
dv_lockdowns |      3,121    .6457332    .3357122          0          1
-------------+---------------------------------------------------------
dv_mmindoors |      2,110    .7165087    .3282025          0          1
dv_mmoutdo~s |      2,100    .5518254    .3588006          0          1
dv_maskman~s |      3,115    .6875869     .322388          0          1
dv_vaxmand~e |      2,079    .5530704    .3891234          0          1
dv_statere~t |      3,744    .6161859    .4863785          0          1
-------------+---------------------------------------------------------
dv_cancele~s |      3,744    .6912838    .3710847          0          1
  dv_schools |      3,744    .5647258    .3847716          0          1
 dv_workhome |      3,743    .7428088    .3240373          0          1
dv_travelr~t |      3,743    .4892243    .3802338          0          1
 dv_stayhome |      3,742    .6426599    .3715042          0          1
-------------+---------------------------------------------------------
dv_testing~q |      3,743    .7408941    .3086171          0          1
dv_restric~s |      6,871    .6109978    .3044926          0          1
        vax1 |      1,950    .5991453     .316623          0          1
        vax2 |      1,949    .7655208    .2786296          0          1
        vax3 |      1,950    .8105128     .246301          0          1
-------------+---------------------------------------------------------
        vax4 |      1,948     .675308    .2902219          0          1
        vax5 |      1,944    .7463134    .2891712          0          1
   vax_scale |      1,952    .7192964    .1793611         .1          1
    infected |          0
  latentnsc1 |      1,046    .4583892     .184273          0          1
-------------+---------------------------------------------------------
  latentnsc2 |      1,046    .4555281    .2029025          0          1
    race_num |      9,898    1.482825     .911657          1          4
  sample_num |     10,223     4.30089    1.639862          1          6
   state_num |      9,128    25.07395    14.92741          1         51
     state_1 |     10,223    .0025942    .0494066          0          1
-------------+---------------------------------------------------------
     state_2 |     10,223    .0137921    .1122001          0          1
     state_3 |     10,223     .009433    .0945688          0          1
     state_4 |     10,223    .0258184    .1543797          0          1
     state_5 |     10,223    .0914405    .2845732          0          1
     state_6 |     10,223    .0175381    .1268181          0          1
-------------+---------------------------------------------------------
     state_7 |     10,223    .0096312     .093983          0          1
     state_8 |     10,223    .0030127    .0531956          0          1
     state_9 |     10,223    .0039709    .0608729          0          1
    state_10 |     10,223    .0759445    .2578095          0          1
    state_11 |     10,223    .0332626    .1728022          0          1
-------------+---------------------------------------------------------
    state_12 |     10,223    .0041092    .0616959          0          1
    state_13 |     10,223    .0101926    .0978406          0          1
    state_14 |     10,223    .0062478    .0759473          0          1
    state_15 |     10,223    .0371944    .1803169          0          1
    state_16 |     10,223    .0200027    .1324839          0          1
-------------+---------------------------------------------------------
    state_17 |     10,223    .0095576    .0947878          0          1
    state_18 |     10,223    .0135522    .1114798          0          1
    state_19 |     10,223    .0102565    .0977676          0          1
    state_20 |     10,223    .0192323    .1337562          0          1
    state_21 |     10,223    .0185049    .1293436          0          1
-------------+---------------------------------------------------------
    state_22 |     10,223    .0048522     .067144          0          1
    state_23 |     10,223    .0318341    .1673873          0          1
    state_24 |     10,223    .0143879    .1156891          0          1
    state_25 |     10,223    .0196574    .1357797          0          1
    state_26 |     10,223    .0071643    .0801905          0          1
-------------+---------------------------------------------------------
    state_27 |     10,223    .0036067     .057666          0          1
    state_28 |     10,223    .0298674    .1634827          0          1
    state_29 |     10,223    .0018108    .0408059          0          1
    state_30 |     10,223    .0060461    .0753079          0          1
    state_31 |     10,223    .0048561     .067149          0          1
-------------+---------------------------------------------------------
    state_32 |     10,223    .0271403    .1578577          0          1
    state_33 |     10,223    .0062823    .0744255          0          1
    state_34 |     10,223    .0105263    .0995706          0          1
    state_35 |     10,223    .0634169     .239227          0          1
    state_36 |     10,223    .0366408    .1793697          0          1
-------------+---------------------------------------------------------
    state_37 |     10,223    .0095692    .0946782          0          1
    state_38 |     10,223    .0133786    .1114037          0          1
    state_39 |     10,223    .0479532    .2093071          0          1
    state_40 |     10,223    .0034143     .056031          0          1
    state_41 |     10,223    .0142219     .113192          0          1
-------------+---------------------------------------------------------
    state_42 |     10,223    .0030052    .0532437          0          1
    state_43 |     10,223    .0190971    .1323742          0          1
    state_44 |     10,223    .0686577    .2505065          0          1
    state_45 |     10,223    .0089666    .0902809          0          1
    state_46 |     10,223    .0244149    .1479849          0          1
-------------+---------------------------------------------------------
    state_47 |     10,223    .0027096    .0504307          0          1
    state_48 |     10,223    .0233706    .1466041          0          1
    state_49 |     10,223    .0203729    .1346761          0          1
    state_50 |     10,223    .0072081    .0819183          0          1
    state_51 |     10,223    .0020077    .0431063          0          1

. 
. 
. ***** Table 1 Descriptive Statistics *****
. 
. * Sample Sizes
. tab sample if (auth_scale != . | latentnsc2 != .) & polengage_scale != . & (dv_concern != . | dv_restrictions != . | dv_behavior != .)

     sample |      Freq.     Percent        Cum.
------------+-----------------------------------
    ANESGSS |        775        8.92        8.92
     Bovitz |        496        5.71       14.63
  Lucid2020 |      1,007       11.59       26.22
  Lucid2021 |      2,119       24.39       50.62
      MTurk |        546        6.29       56.90
        VSG |      3,744       43.10      100.00
------------+-----------------------------------
      Total |      8,687      100.00

. 
. * Chronbach's Alphas
. alpha auth1-auth4 if sample == "ANESGSS"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0717019
Number of items in the scale:            4
Scale reliability coefficient:      0.6629

. alpha auth1-auth5 if sample == "Lucid2020"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0842526
Number of items in the scale:            5
Scale reliability coefficient:      0.7378

. alpha auth1-auth8 if sample == "Lucid2021"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0604484
Number of items in the scale:            8
Scale reliability coefficient:      0.7423

. alpha auth1-auth4 if sample == "VSG"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0817513
Number of items in the scale:            4
Scale reliability coefficient:      0.6883

. alpha auth1-auth4 if sample == "MTurk"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0454346
Number of items in the scale:            4
Scale reliability coefficient:      0.7584

. alpha auth1-auth4 if sample == "Bovitz"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0254874
Number of items in the scale:            4
Scale reliability coefficient:      0.6240

. 
. alpha polint1-polint2 if sample == "Lucid2020"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0734526
Number of items in the scale:            2
Scale reliability coefficient:      0.8320

. alpha polint1-polint2 if sample == "Lucid2021"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0784034
Number of items in the scale:            2
Scale reliability coefficient:      0.8296

. alpha polint1-polint6 if sample == "VSG"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0499288
Number of items in the scale:            6
Scale reliability coefficient:      0.9554

. alpha polint1-polint3 if sample == "MTurk"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0350215
Number of items in the scale:            3
Scale reliability coefficient:      0.7565

. alpha polint1-polint3 if sample == "Bovitz"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0431443
Number of items in the scale:            3
Scale reliability coefficient:      0.7523

. 
. alpha polknow4-polknow8 if sample == "ANESGSS" // note: the first three knowledge items are pre-election, so missing

Test scale = mean(unstandardized items)

Average interitem covariance:     .0483769
Number of items in the scale:            5
Scale reliability coefficient:      0.6731

. alpha polknow1-polknow6 if sample == "Lucid2020"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0610431
Number of items in the scale:            6
Scale reliability coefficient:      0.7360

. alpha polknow1-polknow5 if sample == "Lucid2021"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0677815
Number of items in the scale:            5
Scale reliability coefficient:      0.7081

. alpha polknow1-polknow7 if sample == "VSG"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0594696
Number of items in the scale:            7
Scale reliability coefficient:      0.7892

. alpha polknow1-polknow8 if sample == "MTurk"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0413857
Number of items in the scale:            8
Scale reliability coefficient:      0.7557

. alpha polknow1-polknow8 if sample == "Bovitz"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0539215
Number of items in the scale:            8
Scale reliability coefficient:      0.7570

. 
. alpha dv_masking dv_distancing if sample == "Lucid2020"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0395013
Number of items in the scale:            2
Scale reliability coefficient:      0.8102

. alpha dv_masking dv_distancing dv_vaxstatus if sample == "Lucid2021"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0384375
Number of items in the scale:            3
Scale reliability coefficient:      0.5661

. alpha dv_masking dv_distancing dv_travel-dv_sanitize if sample == "MTurk"

Test scale = mean(unstandardized items)

Average interitem covariance:      .032979
Number of items in the scale:            8
Scale reliability coefficient:      0.7522

. alpha dv_masking dv_distancing dv_travel-dv_sanitize if sample == "Bovitz"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0351507
Number of items in the scale:            8
Scale reliability coefficient:      0.7427

. 
. alpha dv_businesses dv_tracking dv_lockdowns dv_maskmandates if sample == "Lucid2020"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0534972
Number of items in the scale:            4
Scale reliability coefficient:      0.8124

. alpha dv_businesses dv_tracking dv_lockdowns dv_maskmandates dv_vaxmandate if sample == "Lucid2021"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0738588
Number of items in the scale:            5
Scale reliability coefficient:      0.8922

. alpha dv_businesses dv_staterestrict-dv_testingreq if sample == "VSG"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0965356
Number of items in the scale:            8
Scale reliability coefficient:      0.9430

. 
. ***** SM1 - Key Variable Histograms *****
. histogram auth_scale, percent bin(4) by(sample_factor, note("") col(3)) title("")
variable sample_factor not found
r(111);

end of do-file

r(111);

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00000g.tmp"

. histogram auth_scale, percent bin(4) by(sample, note("") col(3)) title("")

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00000h.tmp"

. histogram polengage_scale, percent bin(6) by(sample, note("") col(3)) title("") 

. histogram latentnsc2, percent bin(6) by(sample, note("") col(3)) title("") 

. histogram dv_concern, percent bin(3) by(sample, note("") col(3)) title("") 

. histogram dv_restrictions, percent bin(4) by(sample, note("") col(3)) title("") 

. histogram dv_behavior, percent bin(3) by(sample, note("") col(3)) title("") 

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00000i.tmp"

. histogram latentnsc2, percent bin(6) by(sample, note("") col(3)) title("") 

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00000j.tmp"

. histogram polengage_scale, percent bin(6) by(sample, note("") col(3)) title("") 

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00000k.tmp"

. histogram dv_concern, percent bin(3) by(sample, note("") col(3)) title("") 

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00000l.tmp"

. histogram dv_restrictions, percent bin(4) by(sample, note("") col(3)) title("") 

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00000m.tmp"

. histogram dv_behavior, percent bin(3) by(sample, note("") col(3)) title("") 

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00000n.tmp"

. 
. * Set Up Multiple Imputation
. mi set mlong

. mi register imputed age education income male race sample_num
(1198 m=0 obs now marked as incomplete)

. mi impute chained (logit) male (mlogit) race sample_num (regress) age education income, add(25) 
note: variable sample_num contains no soft missing (.) values; imputing nothing

Conditional models:
         education: regress education i.sample_num i.race i.male age income
              race: mlogit race i.sample_num education i.male age income
              male: logit male i.sample_num education i.race age income
               age: regress age i.sample_num education i.race i.male income
            income: regress income i.sample_num education i.race i.male age

Performing chained iterations ...

Multivariate imputation                     Imputations =       25
Chained equations                                 added =       25
Imputed: m=1 through m=25                       updated =        0

Initialization: monotone                     Iterations =      250
                                                burn-in =       10

              male: logistic regression
              race: multinomial logistic regression
        sample_num: multinomial logistic regression
               age: linear regression
         education: linear regression
            income: linear regression

------------------------------------------------------------------
                   |               Observations per m             
                   |----------------------------------------------
          Variable |   Complete   Incomplete   Imputed |     Total
-------------------+-----------------------------------+----------
              male |       9681          542       542 |     10223
              race |       9898          325       325 |     10223
        sample_num |      10223            0         0 |     10223
               age |       9666          557       557 |     10223
         education |       9926          297       297 |     10223
            income |       9075         1148      1148 |     10223
------------------------------------------------------------------
(Complete + Incomplete = Total; Imputed is the minimum across m
 of the number of filled-in observations.)

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00000o.tmp"

. *Model H1a: COVID-19 Concern, Authoritarianism 
. mi estimate: regress dv_concern c.auth_scale##c.polengage_scale c.age##c.polengage_scale i.male##c.polengage_scale i.race##c.polengage_scale c.education
> ##c.polengage_scale c.income##c.polengage_scale i.sample_num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      5,484
                                                Average RVI       =     0.0037
                                                Largest FMI       =     0.0614
                                                Complete DF       =       5412
DF adjustment:   Small sample                   DF:     min       =   2,839.85
                                                        avg       =   5,250.52
                                                        max       =   5,406.85
Model F test:       Equal FMI                   F(  71, 5409.7)   =       8.30
Within VCE type:          OLS                   Prob > F          =     0.0000

------------------------------------------------------------------------------------------------
                    dv_concern | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------------------------+----------------------------------------------------------------
                    auth_scale |   .1698144   .0488236     3.48   0.001     .0741006    .2655282
               polengage_scale |   .2791857   .0989894     2.82   0.005     .0851264    .4732451
                               |
c.auth_scale#c.polengage_scale |  -.4280247   .0594535    -7.20   0.000    -.5445775   -.3114719
                               |
                           age |   .2139976    .074115     2.89   0.004     .0687024    .3592929
               polengage_scale |          0  (omitted)
                               |
       c.age#c.polengage_scale |  -.2840209   .0953901    -2.98   0.003     -.471024   -.0970178
                               |
                        1.male |   .0042296    .032134     0.13   0.895    -.0587659    .0672252
               polengage_scale |          0  (omitted)
                               |
        male#c.polengage_scale |
                            1  |  -.0799572   .0392459    -2.04   0.042    -.1568951   -.0030194
                               |
                          race |
                            1  |  -.1458162   .0588068    -2.48   0.013    -.2611012   -.0305311
                            2  |   .0011709   .0675823     0.02   0.986    -.1313178    .1336597
                            3  |  -.0224712   .0734298    -0.31   0.760    -.1664235    .1214811
                               |
               polengage_scale |          0  (omitted)
                               |
        race#c.polengage_scale |
                            1  |   .1194261   .0746888     1.60   0.110    -.0269943    .2658464
                            2  |   .0907412   .0888589     1.02   0.307    -.0834585    .2649408
                            3  |   .0342578   .0953161     0.36   0.719    -.1526006    .2211163
                               |
                     education |  -.0683349   .0572198    -1.19   0.232    -.1805094    .0438395
               polengage_scale |          0  (omitted)
                               |
 c.education#c.polengage_scale |   .1289616   .0703315     1.83   0.067    -.0089172    .2668403
                               |
                        income |  -.0681065   .0614003    -1.11   0.267    -.1884949    .0522818
               polengage_scale |          0  (omitted)
                               |
    c.income#c.polengage_scale |   .0020125   .0755249     0.03   0.979    -.1460767    .1501017
                               |
                    sample_num |
                            2  |  -.1528253   .0209469    -7.30   0.000    -.1938909   -.1117598
                            5  |  -.1811252    .018906    -9.58   0.000    -.2181887   -.1440616
                            6  |  -.0749138   .0146682    -5.11   0.000    -.1036705   -.0461572
                               |
                       state_1 |   .0054104    .159844     0.03   0.973    -.3079492    .3187699
                       state_2 |  -.0337456   .1459829    -0.23   0.817     -.319932    .2524409
                       state_3 |   .0731501   .1466206     0.50   0.618    -.2142864    .3605867
                       state_4 |  -.0834837   .1421906    -0.59   0.557    -.3622356    .1952682
                       state_5 |   .0179579    .140309     0.13   0.898    -.2571053    .2930211
                       state_6 |   .0082332   .1436126     0.06   0.954    -.2733064    .2897728
                       state_7 |   .0279018   .1480323     0.19   0.851    -.2623022    .3181059
                       state_8 |   .1703934   .1704803     1.00   0.318    -.1638174    .5046041
                       state_9 |    .083056   .1549788     0.54   0.592    -.2207658    .3868778
                      state_10 |   .0073475   .1404176     0.05   0.958    -.2679286    .2826236
                      state_11 |  -.0004104   .1414739    -0.00   0.998    -.2777573    .2769366
                      state_12 |   .0732503   .1578026     0.46   0.643    -.2361071    .3826077
                      state_13 |   .0502092   .1441543     0.35   0.728    -.2323924    .3328107
                      state_14 |  -.0111042   .1477027    -0.08   0.940     -.300662    .2784536
                      state_15 |   .0343601   .1412601     0.24   0.808    -.2425677    .3112879
                      state_16 |  -.0080554   .1429682    -0.06   0.955    -.2883318     .272221
                      state_17 |   .0295981   .1455978     0.20   0.839    -.2558334    .3150295
                      state_18 |   .0620919   .1452015     0.43   0.669    -.2225627    .3467466
                      state_19 |  -.0373625   .1477189    -0.25   0.800    -.3269522    .2522272
                      state_20 |    .015938   .1431355     0.11   0.911    -.2646662    .2965423
                      state_21 |   .0957577   .1429317     0.67   0.503    -.1844471    .3759624
                      state_22 |    .080559   .1509398     0.53   0.594    -.2153447    .3764627
                      state_23 |  -.0318926    .141428    -0.23   0.822    -.3091496    .2453645
                      state_24 |   -.024006   .1440517    -0.17   0.868    -.3064065    .2583944
                      state_25 |  -.0246559   .1428907    -0.17   0.863    -.3047803    .2554685
                      state_26 |   .0538343   .1479543     0.36   0.716    -.2362167    .3438852
                      state_27 |  -.0486302   .1565793    -0.31   0.756    -.3555896    .2583292
                      state_28 |  -.0012074   .1418671    -0.01   0.993    -.2793251    .2769104
                      state_29 |  -.1785343   .1963053    -0.91   0.363    -.5633722    .2063037
                      state_30 |  -.0015901   .1521536    -0.01   0.992    -.2998733    .2966931
                      state_31 |   .0119497   .1521974     0.08   0.937    -.2864194    .3103189
                      state_32 |   .0261768   .1420213     0.18   0.854    -.2522432    .3045968
                      state_33 |  -.0565228   .1498138    -0.38   0.706    -.3502191    .2371735
                      state_34 |   .0004768   .1463846     0.00   0.997     -.286497    .2874506
                      state_35 |   .0570415    .140732     0.41   0.685    -.2188509     .332934
                      state_36 |   .0446526   .1414324     0.32   0.752    -.2326129    .3219181
                      state_37 |   .0971401   .1483953     0.65   0.513    -.1937755    .3880558
                      state_38 |  -.0498003   .1445718    -0.34   0.731    -.3332203    .2336197
                      state_39 |   .0272937   .1408788     0.19   0.846    -.2488867    .3034742
                      state_40 |   .1023423    .159602     0.64   0.521    -.2105429    .4152275
                      state_41 |   .0082893   .1448058     0.06   0.954    -.2755895    .2921681
                      state_42 |   .0591517    .155159     0.38   0.703    -.2450233    .3633267
                      state_43 |   .0015716   .1432004     0.01   0.991      -.27916    .2823032
                      state_44 |  -.0098265   .1405358    -0.07   0.944    -.2853345    .2656814
                      state_45 |  -.0265837   .1465046    -0.18   0.856    -.3137928    .2606254
                      state_46 |    .006442   .1423456     0.05   0.964    -.2726138    .2854978
                      state_47 |   .1069835    .163897     0.65   0.514    -.2143214    .4282884
                      state_48 |  -.0487794    .142102    -0.34   0.731    -.3273576    .2297988
                      state_49 |   .0110171   .1425376     0.08   0.938    -.2684151    .2904493
                      state_50 |   .0555716   .1481115     0.38   0.708    -.2347877    .3459309
                      state_51 |   -.029108   .1704606    -0.17   0.864    -.3632802    .3050643
                         _cons |   .5838799   .1611747     3.62   0.000     .2679114    .8998484
------------------------------------------------------------------------------------------------

. quietly mimrgns, at(auth_scale=(0 1) polengage_scale=(0 .25 .5 .75 1)) coeflegend post

.     lincom _b[6._at]-_b[1._at]

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1698144   .0488236     3.48   0.001     .0741006    .2655282
------------------------------------------------------------------------------

.     lincom _b[7._at]-_b[2._at]

 ( 1)  - 2._at + 7._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0628082   .0348338     1.80   0.071      -.00548    .1310965
------------------------------------------------------------------------------

.     lincom _b[8._at]-_b[3._at]

 ( 1)  - 3._at + 8._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0441979   .0220201    -2.01   0.045    -.0873663   -.0010296
------------------------------------------------------------------------------

.     lincom _b[9._at]-_b[4._at]

 ( 1)  - 4._at + 9._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.1512041    .014079   -10.74   0.000    -.1788047   -.1236035
------------------------------------------------------------------------------

.     lincom _b[10._at]-_b[5._at]

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.2582103   .0187987   -13.74   0.000    -.2950634   -.2213572
------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00000p.tmp"

. *Model H1b: COVID-19 Behaviors, Authoritarianism 
. mi estimate: regress dv_behavior c.auth_scale##c.polengage_scale c.age##c.polengage_scale i.male##c.polengage_scale i.race##c.polengage_scale c.educatio
> n##c.polengage_scale c.income##c.polengage_scale i.sample_num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      4,029
                                                Average RVI       =     0.0040
                                                Largest FMI       =     0.0700
                                                Complete DF       =       3957
DF adjustment:   Small sample                   DF:     min       =   2,111.97
                                                        avg       =   3,818.01
                                                        max       =   3,950.25
Model F test:       Equal FMI                   F(  71, 3954.8)   =      15.08
Within VCE type:          OLS                   Prob > F          =     0.0000

------------------------------------------------------------------------------------------------
                   dv_behavior | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------------------------+----------------------------------------------------------------
                    auth_scale |   .0367659   .0370423     0.99   0.321     -.035858    .1093898
               polengage_scale |   .4026752   .0718669     5.60   0.000     .2617753    .5435751
                               |
c.auth_scale#c.polengage_scale |  -.1207176   .0520662    -2.32   0.020    -.2227969   -.0186383
                               |
                           age |   .3338402   .0517109     6.46   0.000     .2324427    .4352376
               polengage_scale |          0  (omitted)
                               |
       c.age#c.polengage_scale |  -.4426272   .0732594    -6.04   0.000    -.5862792   -.2989752
                               |
                        1.male |   .0066576   .0220199     0.30   0.762    -.0365173    .0498326
               polengage_scale |          0  (omitted)
                               |
        male#c.polengage_scale |
                            1  |  -.0470879   .0317922    -1.48   0.139    -.1094226    .0152467
                               |
                          race |
                            1  |   -.034041   .0401753    -0.85   0.397    -.1128073    .0447253
                            2  |   .0879404   .0479182     1.84   0.067    -.0060063    .1818871
                            3  |   .1030468   .0457485     2.25   0.024     .0133536      .19274
                               |
               polengage_scale |          0  (omitted)
                               |
        race#c.polengage_scale |
                            1  |   .0248327   .0603273     0.41   0.681    -.0934432    .1431086
                            2  |   -.040581   .0744247    -0.55   0.586    -.1864955    .1053335
                            3  |  -.1222166   .0708557    -1.72   0.085     -.261134    .0167008
                               |
                     education |   .0729715    .043456     1.68   0.093    -.0122295    .1581725
               polengage_scale |          0  (omitted)
                               |
 c.education#c.polengage_scale |  -.0297745   .0625925    -0.48   0.634    -.1524944    .0929453
                               |
                        income |   .1033426   .0411838     2.51   0.012     .0225775    .1841077
               polengage_scale |          0  (omitted)
                               |
    c.income#c.polengage_scale |  -.0599814   .0581055    -1.03   0.302    -.1739221    .0539593
                               |
                    sample_num |
                            3  |   .0122216   .0135802     0.90   0.368    -.0144032    .0388464
                            4  |  -.1527008   .0124123   -12.30   0.000     -.177036   -.1283656
                            5  |  -.0002833   .0156648    -0.02   0.986    -.0309952    .0304285
                               |
                       state_1 |   .1200439   .1451191     0.83   0.408    -.1644717    .4045596
                       state_2 |   .0116089   .1197683     0.10   0.923    -.2232051    .2464228
                       state_3 |   .1019174   .1215034     0.84   0.402    -.1362983    .3401332
                       state_4 |   .0629931   .1181404     0.53   0.594    -.1686294    .2946155
                       state_5 |   .1362771   .1166251     1.17   0.243    -.0923745    .3649287
                       state_6 |   .0200526   .1192456     0.17   0.866    -.2137365    .2538417
                       state_7 |   .1256231   .1223928     1.03   0.305    -.1143364    .3655826
                       state_8 |    .164833   .1275245     1.29   0.196    -.0851874    .4148535
                       state_9 |   .1214752      .1314     0.92   0.355    -.1361433    .3790938
                      state_10 |   .0779239   .1167995     0.67   0.505    -.1510695    .3069173
                      state_11 |     .08004   .1176083     0.68   0.496    -.1505391    .3106191
                      state_12 |   .2583585    .128042     2.02   0.044     .0073234    .5093936
                      state_13 |  -.0125625   .1221359    -0.10   0.918    -.2520184    .2268933
                      state_14 |   .1450564   .1295566     1.12   0.263    -.1089481    .3990608
                      state_15 |   .0613872   .1176885     0.52   0.602    -.1693492    .2921236
                      state_16 |   .0349227   .1189422     0.29   0.769    -.1982716     .268117
                      state_17 |   .0229152     .12127     0.19   0.850     -.214843    .2606734
                      state_18 |   .0962122   .1198931     0.80   0.422    -.1388465    .3312709
                      state_19 |   .0540787   .1204065     0.45   0.653    -.1819864    .2901438
                      state_20 |    .108403   .1191988     0.91   0.363    -.1252945    .3421004
                      state_21 |   .0924213   .1190982     0.78   0.438     -.141079    .3259215
                      state_22 |   .1388921   .1297044     1.07   0.284    -.1154022    .3931865
                      state_23 |   .0697839     .11792     0.59   0.554    -.1614063    .3009742
                      state_24 |   .0575931   .1203137     0.48   0.632    -.1782901    .2934762
                      state_25 |    .033491   .1188077     0.28   0.778    -.1994398    .2664217
                      state_26 |   .0495724   .1238265     0.40   0.689     -.193198    .2923428
                      state_27 |   -.021946   .1317358    -0.17   0.868    -.2802232    .2363311
                      state_28 |   .0729592   .1178082     0.62   0.536    -.1580119    .3039302
                      state_29 |  -.0877901   .1354494    -0.65   0.517    -.3533478    .1777676
                      state_30 |   .0622156   .1257897     0.49   0.621    -.1844036    .3088347
                      state_31 |  -.0571627   .1296529    -0.44   0.659    -.3113559    .1970306
                      state_32 |   .1078641   .1180417     0.91   0.361    -.1235647    .3392929
                      state_33 |   .0780407   .1308409     0.60   0.551    -.1784825     .334564
                      state_34 |   .0761606   .1207182     0.63   0.528    -.1605156    .3128369
                      state_35 |   .1339861   .1167162     1.15   0.251    -.0948439    .3628162
                      state_36 |   .0635035   .1175919     0.54   0.589    -.1670435    .2940505
                      state_37 |   .0374509   .1207098     0.31   0.756    -.1992089    .2741108
                      state_38 |   .1151749   .1202452     0.96   0.338    -.1205741    .3509238
                      state_39 |   .0677143   .1172479     0.58   0.564    -.1621582    .2975868
                      state_40 |   .0537204   .1315207     0.41   0.683    -.2041347    .3115755
                      state_41 |   .0769336    .119522     0.64   0.520    -.1573976    .3112647
                      state_42 |   -.245201   .1555379    -1.58   0.115    -.5501433    .0597413
                      state_43 |   .0195644   .1193358     0.16   0.870    -.2144017    .2535304
                      state_44 |   .0758343    .116749     0.65   0.516    -.1530601    .3047287
                      state_45 |   .0392792   .1234483     0.32   0.750    -.2027495     .281308
                      state_46 |   .0737052   .1184957     0.62   0.534    -.1586136     .306024
                      state_47 |   .0535106   .1372468     0.39   0.697     -.215571    .3225923
                      state_48 |   .0961175   .1189052     0.81   0.419    -.1370043    .3292394
                      state_49 |   .0723407   .1198802     0.60   0.546    -.1626926     .307374
                      state_50 |   .0926873   .1235224     0.75   0.453    -.1494868    .3348615
                      state_51 |  -.0291579   .1371451    -0.21   0.832    -.2980401    .2397243
                         _cons |     .45089   .1260296     3.58   0.000     .2038001    .6979798
------------------------------------------------------------------------------------------------

. quietly mimrgns, at(auth_scale=(0 1) polengage_scale=(0 .25 .5 .75 1)) coeflegend post

.     lincom _b[6._at]-_b[1._at]

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0367659   .0370423     0.99   0.321    -.0358578    .1093897
------------------------------------------------------------------------------

.     lincom _b[7._at]-_b[2._at]

 ( 1)  - 2._at + 7._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0065865   .0253093     0.26   0.795     -.043034     .056207
------------------------------------------------------------------------------

.     lincom _b[8._at]-_b[3._at]

 ( 1)  - 3._at + 8._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0235929   .0157433    -1.50   0.134    -.0544586    .0072728
------------------------------------------------------------------------------

.     lincom _b[9._at]-_b[4._at]

 ( 1)  - 4._at + 9._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0537723   .0139285    -3.86   0.000      -.08108   -.0264646
------------------------------------------------------------------------------

.     lincom _b[10._at]-_b[5._at]

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0839517   .0218864    -3.84   0.000    -.1268615    -.041042
------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00000q.tmp"

. *Model H1c: COVID-19 Restrictions, Authoritarianism 
. mi estimate: regress dv_restrictions c.auth_scale##c.polengage_scale c.age##c.polengage_scale i.male##c.polengage_scale i.race##c.polengage_scale c.educ
> ation##c.polengage_scale c.income##c.polengage_scale i.sample_num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      6,870
                                                Average RVI       =     0.0044
                                                Largest FMI       =     0.0853
                                                Complete DF       =       6800
DF adjustment:   Small sample                   DF:     min       =   2,174.22
                                                        avg       =   6,549.62
                                                        max       =   6,797.96
Model F test:       Equal FMI                   F(  69, 6797.4)   =      15.39
Within VCE type:          OLS                   Prob > F          =     0.0000

------------------------------------------------------------------------------------------------
               dv_restrictions | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------------------------+----------------------------------------------------------------
                    auth_scale |   .1982025   .0342422     5.79   0.000     .1310771    .2653279
               polengage_scale |   .4185124   .0669678     6.25   0.000      .287234    .5497908
                               |
c.auth_scale#c.polengage_scale |  -.4771861     .04359   -10.95   0.000    -.5626362   -.3917361
                               |
                           age |   .1032363   .0524726     1.97   0.049     .0003607    .2061119
               polengage_scale |          0  (omitted)
                               |
       c.age#c.polengage_scale |  -.2919973   .0716903    -4.07   0.000    -.4325495   -.1514451
                               |
                        1.male |   .0668953   .0223694     2.99   0.003     .0230438    .1107469
               polengage_scale |          0  (omitted)
                               |
        male#c.polengage_scale |
                            1  |  -.1495827   .0288798    -5.18   0.000    -.2061968   -.0929685
                               |
                          race |
                            1  |    -.01038   .0388059    -0.27   0.789    -.0864519    .0656918
                            2  |    .006421   .0468799     0.14   0.891    -.0854785    .0983204
                            3  |   .0387747   .0466565     0.83   0.406    -.0526866     .130236
                               |
               polengage_scale |          0  (omitted)
                               |
        race#c.polengage_scale |
                            1  |   -.012385   .0524737    -0.24   0.813    -.1152499    .0904799
                            2  |   .1828785   .0657748     2.78   0.005     .0539393    .3118177
                            3  |   -.004319   .0658323    -0.07   0.948     -.133371    .1247329
                               |
                     education |    .038196   .0430641     0.89   0.375    -.0462251    .1226172
               polengage_scale |          0  (omitted)
                               |
 c.education#c.polengage_scale |   .0417559   .0554505     0.75   0.451    -.0669472    .1504589
                               |
                        income |    .099619   .0453578     2.20   0.028     .0106765    .1885615
               polengage_scale |          0  (omitted)
                               |
    c.income#c.polengage_scale |  -.0947405   .0602526    -1.57   0.116    -.2128992    .0234182
                               |
                    sample_num |
                            4  |  -.0797173   .0111313    -7.16   0.000    -.1015382   -.0578964
                            6  |   .0142547   .0107762     1.32   0.186    -.0068699    .0353794
                               |
                       state_1 |   .1240173   .0953982     1.30   0.194     -.062993    .3110275
                       state_2 |   .0233894   .0790689     0.30   0.767    -.1316105    .1783892
                       state_3 |   .0821177   .0803877     1.02   0.307    -.0754673    .2397028
                       state_4 |   .0225871   .0763724     0.30   0.767    -.1271267    .1723008
                       state_5 |   .1315333   .0744544     1.77   0.077    -.0144207    .2774872
                       state_6 |   .0733953   .0776101     0.95   0.344    -.0787448    .2255353
                       state_7 |   .0930679   .0819915     1.14   0.256     -.067661    .2537969
                       state_8 |   .2732221   .0947601     2.88   0.004     .0874626    .4589816
                       state_9 |   .1027545   .0930954     1.10   0.270    -.0797415    .2852506
                      state_10 |   .0673181   .0745718     0.90   0.367    -.0788661    .2135022
                      state_11 |   .0637246   .0760211     0.84   0.402    -.0853005    .2127498
                      state_12 |   .1625155   .0895745     1.81   0.070    -.0130785    .3381096
                      state_13 |    .100022   .0807433     1.24   0.215    -.0582601    .2583042
                      state_14 |   .0863937    .084935     1.02   0.309    -.0801056    .2528929
                      state_15 |    .082832    .075881     1.09   0.275    -.0659185    .2315824
                      state_16 |   .0481209   .0774846     0.62   0.535     -.103773    .2000149
                      state_17 |   .1072039   .0810532     1.32   0.186    -.0516857    .2660934
                      state_18 |   .1145232   .0795437     1.44   0.150    -.0414073    .2704538
                      state_19 |  -.0369432   .0807556    -0.46   0.647    -.1952495    .1213631
                      state_20 |   .1141451   .0774196     1.47   0.140    -.0376216    .2659118
                      state_21 |   .1363348   .0775901     1.76   0.079     -.015766    .2884357
                      state_22 |   .1258207   .0865286     1.45   0.146    -.0438024    .2954438
                      state_23 |   .0660586   .0759568     0.87   0.385    -.0828406    .2149578
                      state_24 |   .0914904   .0788496     1.16   0.246    -.0630794    .2460602
                      state_25 |   .0075235   .0771184     0.10   0.922    -.1436528    .1586998
                      state_26 |  -.0303459   .0847785    -0.36   0.720    -.1965383    .1358465
                      state_27 |  -.0381998   .0900995    -0.42   0.672    -.2148229    .1384234
                      state_28 |   .0610487    .076351     0.80   0.424    -.0886231    .2107205
                      state_29 |  -.0403775   .1057781    -0.38   0.703    -.2477357    .1669806
                      state_30 |   .0610406   .0848956     0.72   0.472    -.1053813    .2274625
                      state_31 |   .0071045   .0879304     0.08   0.936    -.1652667    .1794757
                      state_32 |   .0601869    .076455     0.79   0.431    -.0896888    .2100625
                      state_33 |  -.0577224   .0855445    -0.67   0.500    -.2254163    .1099715
                      state_34 |   .0437128   .0807833     0.54   0.588    -.1146478    .2020733
                      state_35 |   .1605565      .0748     2.15   0.032      .013925     .307188
                      state_36 |   .0879078   .0758124     1.16   0.246    -.0607082    .2365237
                      state_37 |    .078821   .0820663     0.96   0.337    -.0820545    .2396966
                      state_38 |   .0659131    .079259     0.83   0.406    -.0894593    .2212856
                      state_39 |   .0494361   .0750118     0.66   0.510    -.0976105    .1964828
                      state_40 |   .1951315    .094535     2.06   0.039     .0098134    .3804497
                      state_41 |   .0930807   .0790515     1.18   0.239     -.061885    .2480465
                      state_42 |  -.0597531   .0937336    -0.64   0.524    -.2435002     .123994
                      state_43 |   .0615299   .0776265     0.79   0.428    -.0906424    .2137022
                      state_44 |   .0645122   .0747308     0.86   0.388    -.0819836     .211008
                      state_45 |   .0132268   .0822607     0.16   0.872    -.1480299    .1744834
                      state_46 |   .0602913   .0767847     0.79   0.432    -.0902308    .2108134
                      state_47 |   .1000887   .0954507     1.05   0.294    -.0870244    .2872019
                      state_48 |   .0584947   .0767836     0.76   0.446    -.0920251    .2090145
                      state_49 |   .0584114   .0772236     0.76   0.449    -.0929709    .2097938
                      state_50 |   .1033619   .0836308     1.24   0.217    -.0605806    .2673044
                      state_51 |          0  (omitted)
                         _cons |   .3366418   .0880965     3.82   0.000      .163945    .5093385
------------------------------------------------------------------------------------------------

. quietly mimrgns, at(auth_scale=(0 1) polengage_scale=(0 .25 .5 .75 1)) coeflegend post

.     lincom _b[6._at]-_b[1._at]

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1982025   .0342422     5.79   0.000     .1310771    .2653278
------------------------------------------------------------------------------

.     lincom _b[7._at]-_b[2._at]

 ( 1)  - 2._at + 7._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0789059   .0241858     3.26   0.001     .0314943    .1263176
------------------------------------------------------------------------------

.     lincom _b[8._at]-_b[3._at]

 ( 1)  - 3._at + 8._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0403906   .0153261    -2.64   0.008    -.0704345   -.0103467
------------------------------------------------------------------------------

.     lincom _b[9._at]-_b[4._at]

 ( 1)  - 4._at + 9._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.1596871   .0110605   -14.44   0.000    -.1813693    -.138005
------------------------------------------------------------------------------

.     lincom _b[10._at]-_b[5._at]

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.2789837   .0157256   -17.74   0.000    -.3098107   -.2481566
------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00000r.tmp"

. *Model H2a: COVID-19 Concern, Latent NSC 2
. mi estimate: regress dv_concern c.latentnsc2##c.polengage_scale c.age##c.polengage_scale i.male##c.polengage_scale i.race##c.polengage_scale c.education
> ##c.polengage_scale c.income##c.polengage_scale i.sample_num

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        965
                                                Average RVI       =     0.0112
                                                Largest FMI       =     0.0415
                                                Complete DF       =        946
DF adjustment:   Small sample                   DF:     min       =     850.29
                                                        avg       =     923.19
                                                        max       =     942.89
Model F test:       Equal FMI                   F(  18,  943.7)   =       2.70
Within VCE type:          OLS                   Prob > F          =     0.0002

------------------------------------------------------------------------------------------------
                    dv_concern | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------------------------+----------------------------------------------------------------
                    latentnsc2 |   .3410344   .2394253     1.42   0.155    -.1288337    .8109026
               polengage_scale |   .2721278   .2842061     0.96   0.339    -.2856298    .8298853
                               |
c.latentnsc2#c.polengage_scale |  -.5889081   .3060059    -1.92   0.055    -1.189439    .0116233
                               |
                           age |   .1872601   .2037141     0.92   0.358    -.2125258    .5870459
               polengage_scale |          0  (omitted)
                               |
       c.age#c.polengage_scale |  -.2445519   .2655462    -0.92   0.357    -.7656824    .2765785
                               |
                        1.male |  -.1650795   .0849524    -1.94   0.052    -.3317974    .0016384
               polengage_scale |          0  (omitted)
                               |
        male#c.polengage_scale |
                            1  |   .1564718    .112463     1.39   0.164    -.0642352    .3771788
                               |
                          race |
                            1  |  -.1355216    .158605    -0.85   0.393    -.4467892     .175746
                            2  |   .2181534   .2067544     1.06   0.292    -.1876464    .6239531
                            3  |   .1352213   .1889212     0.72   0.474    -.2355495     .505992
                               |
               polengage_scale |          0  (omitted)
                               |
        race#c.polengage_scale |
                            1  |   .1144353   .2234904     0.51   0.609    -.3241758    .5530465
                            2  |  -.1953255    .297129    -0.66   0.511    -.7785178    .3878667
                            3  |  -.1645444   .2690128    -0.61   0.541    -.6925088      .36342
                               |
                     education |   -.011299   .1792973    -0.06   0.950    -.3631737    .3405757
               polengage_scale |          0  (omitted)
                               |
 c.education#c.polengage_scale |   .1822275   .2418836     0.75   0.451    -.2924722    .6569271
                               |
                        income |   -.055832   .1448773    -0.39   0.700    -.3401601    .2284961
               polengage_scale |          0  (omitted)
                               |
    c.income#c.polengage_scale |  -.0446706   .1896675    -0.24   0.814    -.4168985    .3275573
                               |
                  5.sample_num |  -.0203423   .0263493    -0.77   0.440    -.0720525    .0313679
                         _cons |   .3566723   .2037249     1.75   0.080    -.0431391    .7564836
------------------------------------------------------------------------------------------------

. quietly mimrgns, at(latentnsc2=(.1066294 .7065914) polengage_scale=(0 .25 .5 .75 1)) coeflegend post

.     lincom _b[6._at]-_b[1._at]

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .2046077   .1436461     1.42   0.155    -.0772941    .4865095
------------------------------------------------------------------------------

.     lincom _b[7._at]-_b[2._at]

 ( 1)  - 2._at + 7._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1162771   .0997008     1.17   0.244    -.0793832    .3119374
------------------------------------------------------------------------------

.     lincom _b[8._at]-_b[3._at]

 ( 1)  - 3._at + 8._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0279465   .0588179     0.48   0.635    -.0874823    .1433752
------------------------------------------------------------------------------

.     lincom _b[9._at]-_b[4._at]

 ( 1)  - 4._at + 9._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0603842   .0345268    -1.75   0.081    -.1281421    .0073738
------------------------------------------------------------------------------

.     lincom _b[10._at]-_b[5._at]

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.1487148    .056017    -2.65   0.008    -.2586467   -.0387829
------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00000s.tmp"

. *Model: COVID-19 Behaviors, Latent NSC 
. mi estimate: regress dv_behavior c.latentnsc2##c.polengage_scale c.age##c.polengage_scale i.male##c.polengage_scale i.race##c.polengage_scale c.educatio
> n##c.polengage_scale c.income##c.polengage_scale i.sample_num 

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        970
                                                Average RVI       =     0.0100
                                                Largest FMI       =     0.0267
                                                Complete DF       =        951
DF adjustment:   Small sample                   DF:     min       =     899.21
                                                        avg       =     935.95
                                                        max       =     948.39
Model F test:       Equal FMI                   F(  18,  948.7)   =       4.11
Within VCE type:          OLS                   Prob > F          =     0.0000

------------------------------------------------------------------------------------------------
                   dv_behavior | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------------------------+----------------------------------------------------------------
                    latentnsc2 |   .0666241   .1464614     0.45   0.649    -.2208018    .3540501
               polengage_scale |   .2590463   .1818714     1.42   0.155    -.0978742    .6159668
                               |
c.latentnsc2#c.polengage_scale |   -.234829   .1881441    -1.25   0.212    -.6040558    .1343978
                               |
                           age |   .0901255   .1246461     0.72   0.470    -.1544888    .3347399
               polengage_scale |          0  (omitted)
                               |
       c.age#c.polengage_scale |  -.1725505   .1629775    -1.06   0.290    -.4923898    .1472888
                               |
                        1.male |  -.0707424   .0531278    -1.33   0.183    -.1750042    .0335193
               polengage_scale |          0  (omitted)
                               |
        male#c.polengage_scale |
                            1  |   .0172544   .0704212     0.25   0.806    -.1209454    .1554543
                               |
                          race |
                            1  |   -.047128   .1004187    -0.47   0.639    -.2441984    .1499423
                            2  |  -.0873595   .1275969    -0.68   0.494    -.3377691      .16305
                            3  |  -.0865041   .1229713    -0.70   0.482    -.3278407    .1548324
                               |
               polengage_scale |          0  (omitted)
                               |
        race#c.polengage_scale |
                            1  |  -.0058429   .1421805    -0.04   0.967    -.2848715    .2731856
                            2  |   .1136217   .1851794     0.61   0.540    -.2497945    .4770379
                            3  |   .0823609   .1745379     0.47   0.637    -.2601799    .4249018
                               |
                     education |    .018429   .1131457     0.16   0.871    -.2036183    .2404763
               polengage_scale |          0  (omitted)
                               |
 c.education#c.polengage_scale |   .0545586   .1532464     0.36   0.722    -.2461875    .3553048
                               |
                        income |   .1224582   .0905643     1.35   0.177    -.0552838    .3002002
               polengage_scale |          0  (omitted)
                               |
    c.income#c.polengage_scale |  -.0455863   .1195726    -0.38   0.703    -.2802562    .1890836
                               |
                  5.sample_num |  -.0241642   .0163947    -1.47   0.141    -.0563385    .0080102
                         _cons |   .7190468   .1297902     5.54   0.000      .464336    .9737575
------------------------------------------------------------------------------------------------

. quietly mimrgns, at(latentnsc2=(.1066294 .7065914) polengage_scale=(0 .25 .5 .75 1)) coeflegend post

.     lincom _b[6._at]-_b[1._at]

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0399719   .0878713     0.45   0.649    -.1324721     .212416
------------------------------------------------------------------------------

.     lincom _b[7._at]-_b[2._at]

 ( 1)  - 2._at + 7._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0047498   .0608721     0.08   0.938    -.1147093     .124209
------------------------------------------------------------------------------

.     lincom _b[8._at]-_b[3._at]

 ( 1)  - 3._at + 8._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0304723   .0358075    -0.85   0.395    -.1007432    .0397986
------------------------------------------------------------------------------

.     lincom _b[9._at]-_b[4._at]

 ( 1)  - 4._at + 9._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0656944   .0212523    -3.09   0.002    -.1074012   -.0239876
------------------------------------------------------------------------------

.     lincom _b[10._at]-_b[5._at]

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.1009165   .0348405    -2.90   0.004    -.1692896   -.0325435
------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00000t.tmp"

. 
. local vars dv_concern dv_behavior dv_restrictions auth_scale latentnsc1 latentnsc2 polengage_scale polint_scale polknow_scale

. foreach var of local vars {
  2.     egen mean_`var' = mean(`var')
  3.     egen sd_`var' = sd(`var')
  4.     generate z_`var' = (`var' - mean_`var') / sd_`var'
  5. }
(18,115 missing values generated)
(31,494 missing values generated)
(18,327 missing values generated)
(10,235 missing values generated)
(38,052 missing values generated)
(38,052 missing values generated)
(7,257 missing values generated)
(10,254 missing values generated)
(14,860 missing values generated)

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00000u.tmp"

. mi estimate: regress z_dv_concern c.z_auth_scale##c.z_polengage_scale c.age##c.z_polengage_scale i.male##c.z_polengage_scale i.race##c.z_polengage_scale
>  c.education##c.z_polengage_scale c.income##c.z_polengage_scale i.sample_num  state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      5,484
                                                Average RVI       =     0.0037
                                                Largest FMI       =     0.1072
                                                Complete DF       =       5412
DF adjustment:   Small sample                   DF:     min       =   1,475.08
                                                        avg       =   5,223.05
                                                        max       =   5,406.85
Model F test:       Equal FMI                   F(  71, 5409.7)   =       8.30
Within VCE type:          OLS                   Prob > F          =     0.0000

----------------------------------------------------------------------------------------------------
                      z_dv_concern | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------------------------+----------------------------------------------------------------
                      z_auth_scale |  -.1227937   .0148571    -8.27   0.000    -.1519196   -.0936679
                 z_polengage_scale |   .0608582   .0812527     0.75   0.454      -.09843    .2201465
                                   |
c.z_auth_scale#c.z_polengage_scale |   -.120113   .0166839    -7.20   0.000    -.1528203   -.0874058
                                   |
                               age |   .0577414   .0731728     0.79   0.430    -.0857068    .2011896
                 z_polengage_scale |          0  (omitted)
                                   |
         c.age#c.z_polengage_scale |  -.2525596   .0848237    -2.98   0.003    -.4188482    -.086271
                                   |
                            1.male |   -.158419   .0303474    -5.22   0.000    -.2179121   -.0989258
                 z_polengage_scale |          0  (omitted)
                                   |
          male#c.z_polengage_scale |
                                1  |  -.0711003   .0348986    -2.04   0.042    -.1395157   -.0026849
                                   |
                              race |
                                1  |  -.1983891   .0599012    -3.31   0.001    -.3158197   -.0809585
                                2  |    .198405   .0730238     2.72   0.007     .0552486    .3415613
                                3  |   .0034526   .0766317     0.05   0.964    -.1467766    .1536819
                                   |
                 z_polengage_scale |          0  (omitted)
                                   |
          race#c.z_polengage_scale |
                                1  |   .1061971   .0664155     1.60   0.110    -.0240041    .2363983
                                2  |   .0806897    .079016     1.02   0.307    -.0742137     .235593
                                3  |   .0304631   .0847579     0.36   0.719    -.1356969     .196623
                                   |
                         education |   .0636911   .0562961     1.13   0.258    -.0466738    .1740559
                 z_polengage_scale |          0  (omitted)
                                   |
   c.education#c.z_polengage_scale |   .1146764   .0625408     1.83   0.067    -.0079294    .2372822
                                   |
                            income |  -.2080615   .0682526    -3.05   0.002    -.3419441   -.0741789
                 z_polengage_scale |          0  (omitted)
                                   |
      c.income#c.z_polengage_scale |   .0017896   .0671589     0.03   0.979    -.1298956    .1334748
                                   |
                        sample_num |
                                2  |  -.4765648   .0653199    -7.30   0.000    -.6046221   -.3485075
                                5  |   -.564814   .0589559    -9.58   0.000    -.6803916   -.4492363
                                6  |  -.2336085   .0457408    -5.11   0.000    -.3232821   -.1439349
                                   |
                           state_1 |   .0168714   .4984517     0.03   0.973    -.9602974    .9940403
                           state_2 |  -.1052309   .4552277    -0.23   0.817     -.997664    .7872023
                           state_3 |   .2281087   .4572163     0.50   0.618    -.6682228     1.12444
                           state_4 |  -.2603326   .4434017    -0.59   0.557    -1.129582    .6089169
                           state_5 |   .0559993   .4375342     0.13   0.898    -.8017475    .9137461
                           state_6 |   .0256741   .4478363     0.06   0.954    -.8522685    .9036167
                           state_7 |   .0870081   .4616186     0.19   0.851    -.8179535    .9919697
                           state_8 |   .5313483   .5316194     1.00   0.318     -.510842    1.573539
                           state_9 |   .2589987   .4832802     0.54   0.592     -.688428    1.206425
                          state_10 |   .0229121    .437873     0.05   0.958    -.8354986    .8813229
                          state_11 |  -.0012797   .4411669    -0.00   0.998    -.8661481    .8635887
                          state_12 |    .228421   .4920856     0.46   0.643    -.7362677     1.19311
                          state_13 |   .1565704   .4495253     0.35   0.728    -.7246837    1.037825
                          state_14 |   -.034627   .4605907    -0.08   0.940    -.9375733    .8683193
                          state_15 |   .1071472   .4405003     0.24   0.808    -.7564142    .9707087
                          state_16 |  -.0251197   .4458268    -0.06   0.955    -.8991231    .8488838
                          state_17 |   .0922975   .4540269     0.20   0.839    -.7977813    .9823764
                          state_18 |   .1936252   .4527911     0.43   0.669    -.6940311    1.081282
                          state_19 |  -.1165098   .4606412    -0.25   0.800    -1.019555    .7865359
                          state_20 |   .0497006   .4463484     0.11   0.911    -.8253253    .9247265
                          state_21 |   .2986071   .4457129     0.67   0.503    -.5751729    1.172387
                          state_22 |   .2512122    .470685     0.53   0.594    -.6715229    1.173947
                          state_23 |  -.0994526    .441024    -0.23   0.822    -.9640407    .7651355
                          state_24 |  -.0748595   .4492055    -0.17   0.868    -.9554867    .8057676
                          state_25 |   -.076886   .4455849    -0.17   0.863    -.9504155    .7966435
                          state_26 |   .1678748   .4613752     0.36   0.716    -.7366093    1.072359
                          state_27 |  -.1516465    .488271    -0.31   0.756    -1.108857    .8055643
                          state_28 |   -.003765    .442393    -0.01   0.993    -.8710371    .8635071
                          state_29 |  -.5567346    .612151    -0.91   0.363    -1.756799    .6433297
                          state_30 |  -.0049586     .47447    -0.01   0.992    -.9351139    .9251966
                          state_31 |   .0372636   .4746068     0.08   0.937    -.8931598    .9676869
                          state_32 |   .0816288    .442874     0.18   0.854    -.7865859    .9498434
                          state_33 |  -.1762587   .4671738    -0.38   0.706     -1.09211    .7395929
                          state_34 |   .0014869   .4564803     0.00   0.997    -.8934015    .8963754
                          state_35 |   .1778762   .4388533     0.41   0.685    -.6824565    1.038209
                          state_36 |    .139243   .4410374     0.32   0.752    -.7253715    1.003857
                          state_37 |   .3029182   .4627503     0.65   0.513    -.6042622    1.210099
                          state_38 |  -.1552954   .4508273    -0.34   0.731    -1.039102     .728511
                          state_39 |   .0851118   .4393114     0.19   0.846     -.776119    .9463426
                          state_40 |   .3191404    .497697     0.64   0.521     -.656549     1.29483
                          state_41 |   .0258492    .451557     0.06   0.954    -.8593879    .9110862
                          state_42 |   .1844564   .4838419     0.38   0.703    -.7640716    1.132984
                          state_43 |   .0049008   .4465509     0.01   0.991    -.8705223    .8803239
                          state_44 |  -.0306427   .4382417    -0.07   0.944    -.8897764     .828491
                          state_45 |  -.0828976   .4568545    -0.18   0.856    -.9785198    .8127246
                          state_46 |   .0200885   .4438852     0.05   0.964    -.8501087    .8902856
                          state_47 |   .3336133   .5110904     0.65   0.514     -.668332    1.335559
                          state_48 |  -.1521117   .4431256    -0.34   0.731     -1.02082    .7165961
                          state_49 |   .0343554   .4444838     0.08   0.938    -.8370155    .9057264
                          state_50 |   .1732924   .4618655     0.38   0.708    -.7321532    1.078738
                          state_51 |  -.0907692    .531558    -0.17   0.864    -1.132839     .951301
                             _cons |   .4524204   .4443923     1.02   0.309    -.4187723    1.323613
----------------------------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00000v.tmp"

. mi estimate: regress z_dv_concern c.z_latentnsc2##c.z_polengage_scale c.age##c.z_polengage_scale i.male##c.z_polengage_scale i.race##c.z_polengage_scale
>  c.education##c.z_polengage_scale c.income##c.z_polengage_scale i.sample_num 

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        965
                                                Average RVI       =     0.0112
                                                Largest FMI       =     0.0415
                                                Complete DF       =        946
DF adjustment:   Small sample                   DF:     min       =     850.29
                                                        avg       =     926.40
                                                        max       =     943.16
Model F test:       Equal FMI                   F(  18,  943.7)   =       2.70
Within VCE type:          OLS                   Prob > F          =     0.0002

----------------------------------------------------------------------------------------------------
                      z_dv_concern | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------------------------+----------------------------------------------------------------
                      z_latentnsc2 |  -.0350427   .0335082    -1.05   0.296    -.1008021    .0307166
                 z_polengage_scale |   .0051079   .2227747     0.02   0.982    -.4320921     .442308
                                   |
c.z_latentnsc2#c.z_polengage_scale |  -.0915366   .0475639    -1.92   0.055    -.1848799    .0018067
                                   |
                               age |   .0590744   .1757151     0.34   0.737    -.2857636    .4039124
                 z_polengage_scale |          0  (omitted)
                                   |
         c.age#c.z_polengage_scale |  -.2174627   .2361314    -0.92   0.357     -.680867    .2459417
                                   |
                            1.male |  -.1789498   .0726084    -2.46   0.014    -.3214426   -.0364569
                 z_polengage_scale |          0  (omitted)
                                   |
          male#c.z_polengage_scale |
                                1  |   .1391392   .1000054     1.39   0.164    -.0571198    .3353983
                                   |
                              race |
                                1  |  -.1769982   .1495672    -1.18   0.237    -.4705266    .1165302
                                2  |   .2610632   .1867836     1.40   0.163    -.1055175     .627644
                                3  |    .068515   .1812327     0.38   0.705    -.2871629    .4241928
                                   |
                 z_polengage_scale |          0  (omitted)
                                   |
          race#c.z_polengage_scale |
                                1  |   .1017592   .1987341     0.51   0.609    -.2882666     .491785
                                2  |  -.1736891   .2642157    -0.66   0.511    -.6922806    .3449024
                                3  |  -.1463177    .239214    -0.61   0.541    -.6157989    .3231636
                                   |
                         education |    .355872   .1593535     2.23   0.026     .0431402    .6686038
                 z_polengage_scale |          0  (omitted)
                                   |
   c.education#c.z_polengage_scale |    .162042   .2150899     0.75   0.451    -.2600747    .5841586
                                   |
                            income |  -.2699788   .1358155    -1.99   0.047    -.5365199   -.0034377
                 z_polengage_scale |          0  (omitted)
                                   |
      c.income#c.z_polengage_scale |  -.0397224   .1686578    -0.24   0.814    -.3707183    .2912734
                                   |
                      5.sample_num |  -.0634346   .0821667    -0.77   0.440    -.2246857    .0978165
                             _cons |   -.170342   .1821138    -0.94   0.350     -.527742    .1870581
----------------------------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00000w.tmp"

. *Model: COVID-19 Restrictions, Authoritarianism 
. mi estimate: regress dv_restrictions c.auth_scale##c.polengage_scale c.age##c.polengage_scale i.male##c.polengage_scale i.race##c.polengage_scale c.educ
> ation##c.polengage_scale c.income##c.polengage_scale i.sample_num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      6,870
                                                Average RVI       =     0.0044
                                                Largest FMI       =     0.0853
                                                Complete DF       =       6800
DF adjustment:   Small sample                   DF:     min       =   2,174.22
                                                        avg       =   6,549.62
                                                        max       =   6,797.96
Model F test:       Equal FMI                   F(  69, 6797.4)   =      15.39
Within VCE type:          OLS                   Prob > F          =     0.0000

------------------------------------------------------------------------------------------------
               dv_restrictions | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------------------------+----------------------------------------------------------------
                    auth_scale |   .1982025   .0342422     5.79   0.000     .1310771    .2653279
               polengage_scale |   .4185124   .0669678     6.25   0.000      .287234    .5497908
                               |
c.auth_scale#c.polengage_scale |  -.4771861     .04359   -10.95   0.000    -.5626362   -.3917361
                               |
                           age |   .1032363   .0524726     1.97   0.049     .0003607    .2061119
               polengage_scale |          0  (omitted)
                               |
       c.age#c.polengage_scale |  -.2919973   .0716903    -4.07   0.000    -.4325495   -.1514451
                               |
                        1.male |   .0668953   .0223694     2.99   0.003     .0230438    .1107469
               polengage_scale |          0  (omitted)
                               |
        male#c.polengage_scale |
                            1  |  -.1495827   .0288798    -5.18   0.000    -.2061968   -.0929685
                               |
                          race |
                            1  |    -.01038   .0388059    -0.27   0.789    -.0864519    .0656918
                            2  |    .006421   .0468799     0.14   0.891    -.0854785    .0983204
                            3  |   .0387747   .0466565     0.83   0.406    -.0526866     .130236
                               |
               polengage_scale |          0  (omitted)
                               |
        race#c.polengage_scale |
                            1  |   -.012385   .0524737    -0.24   0.813    -.1152499    .0904799
                            2  |   .1828785   .0657748     2.78   0.005     .0539393    .3118177
                            3  |   -.004319   .0658323    -0.07   0.948     -.133371    .1247329
                               |
                     education |    .038196   .0430641     0.89   0.375    -.0462251    .1226172
               polengage_scale |          0  (omitted)
                               |
 c.education#c.polengage_scale |   .0417559   .0554505     0.75   0.451    -.0669472    .1504589
                               |
                        income |    .099619   .0453578     2.20   0.028     .0106765    .1885615
               polengage_scale |          0  (omitted)
                               |
    c.income#c.polengage_scale |  -.0947405   .0602526    -1.57   0.116    -.2128992    .0234182
                               |
                    sample_num |
                            4  |  -.0797173   .0111313    -7.16   0.000    -.1015382   -.0578964
                            6  |   .0142547   .0107762     1.32   0.186    -.0068699    .0353794
                               |
                       state_1 |   .1240173   .0953982     1.30   0.194     -.062993    .3110275
                       state_2 |   .0233894   .0790689     0.30   0.767    -.1316105    .1783892
                       state_3 |   .0821177   .0803877     1.02   0.307    -.0754673    .2397028
                       state_4 |   .0225871   .0763724     0.30   0.767    -.1271267    .1723008
                       state_5 |   .1315333   .0744544     1.77   0.077    -.0144207    .2774872
                       state_6 |   .0733953   .0776101     0.95   0.344    -.0787448    .2255353
                       state_7 |   .0930679   .0819915     1.14   0.256     -.067661    .2537969
                       state_8 |   .2732221   .0947601     2.88   0.004     .0874626    .4589816
                       state_9 |   .1027545   .0930954     1.10   0.270    -.0797415    .2852506
                      state_10 |   .0673181   .0745718     0.90   0.367    -.0788661    .2135022
                      state_11 |   .0637246   .0760211     0.84   0.402    -.0853005    .2127498
                      state_12 |   .1625155   .0895745     1.81   0.070    -.0130785    .3381096
                      state_13 |    .100022   .0807433     1.24   0.215    -.0582601    .2583042
                      state_14 |   .0863937    .084935     1.02   0.309    -.0801056    .2528929
                      state_15 |    .082832    .075881     1.09   0.275    -.0659185    .2315824
                      state_16 |   .0481209   .0774846     0.62   0.535     -.103773    .2000149
                      state_17 |   .1072039   .0810532     1.32   0.186    -.0516857    .2660934
                      state_18 |   .1145232   .0795437     1.44   0.150    -.0414073    .2704538
                      state_19 |  -.0369432   .0807556    -0.46   0.647    -.1952495    .1213631
                      state_20 |   .1141451   .0774196     1.47   0.140    -.0376216    .2659118
                      state_21 |   .1363348   .0775901     1.76   0.079     -.015766    .2884357
                      state_22 |   .1258207   .0865286     1.45   0.146    -.0438024    .2954438
                      state_23 |   .0660586   .0759568     0.87   0.385    -.0828406    .2149578
                      state_24 |   .0914904   .0788496     1.16   0.246    -.0630794    .2460602
                      state_25 |   .0075235   .0771184     0.10   0.922    -.1436528    .1586998
                      state_26 |  -.0303459   .0847785    -0.36   0.720    -.1965383    .1358465
                      state_27 |  -.0381998   .0900995    -0.42   0.672    -.2148229    .1384234
                      state_28 |   .0610487    .076351     0.80   0.424    -.0886231    .2107205
                      state_29 |  -.0403775   .1057781    -0.38   0.703    -.2477357    .1669806
                      state_30 |   .0610406   .0848956     0.72   0.472    -.1053813    .2274625
                      state_31 |   .0071045   .0879304     0.08   0.936    -.1652667    .1794757
                      state_32 |   .0601869    .076455     0.79   0.431    -.0896888    .2100625
                      state_33 |  -.0577224   .0855445    -0.67   0.500    -.2254163    .1099715
                      state_34 |   .0437128   .0807833     0.54   0.588    -.1146478    .2020733
                      state_35 |   .1605565      .0748     2.15   0.032      .013925     .307188
                      state_36 |   .0879078   .0758124     1.16   0.246    -.0607082    .2365237
                      state_37 |    .078821   .0820663     0.96   0.337    -.0820545    .2396966
                      state_38 |   .0659131    .079259     0.83   0.406    -.0894593    .2212856
                      state_39 |   .0494361   .0750118     0.66   0.510    -.0976105    .1964828
                      state_40 |   .1951315    .094535     2.06   0.039     .0098134    .3804497
                      state_41 |   .0930807   .0790515     1.18   0.239     -.061885    .2480465
                      state_42 |  -.0597531   .0937336    -0.64   0.524    -.2435002     .123994
                      state_43 |   .0615299   .0776265     0.79   0.428    -.0906424    .2137022
                      state_44 |   .0645122   .0747308     0.86   0.388    -.0819836     .211008
                      state_45 |   .0132268   .0822607     0.16   0.872    -.1480299    .1744834
                      state_46 |   .0602913   .0767847     0.79   0.432    -.0902308    .2108134
                      state_47 |   .1000887   .0954507     1.05   0.294    -.0870244    .2872019
                      state_48 |   .0584947   .0767836     0.76   0.446    -.0920251    .2090145
                      state_49 |   .0584114   .0772236     0.76   0.449    -.0929709    .2097938
                      state_50 |   .1033619   .0836308     1.24   0.217    -.0605806    .2673044
                      state_51 |          0  (omitted)
                         _cons |   .3366418   .0880965     3.82   0.000      .163945    .5093385
------------------------------------------------------------------------------------------------

. quietly mimrgns, at(auth_scale=(0 1) polengage_scale=(0 .25 .5 .75 1)) coeflegend post

.     lincom _b[6._at]-_b[1._at]

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1982025   .0342422     5.79   0.000     .1310771    .2653278
------------------------------------------------------------------------------

.     lincom _b[7._at]-_b[2._at]

 ( 1)  - 2._at + 7._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0789059   .0241858     3.26   0.001     .0314943    .1263176
------------------------------------------------------------------------------

.     lincom _b[8._at]-_b[3._at]

 ( 1)  - 3._at + 8._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0403906   .0153261    -2.64   0.008    -.0704345   -.0103467
------------------------------------------------------------------------------

.     lincom _b[9._at]-_b[4._at]

 ( 1)  - 4._at + 9._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.1596871   .0110605   -14.44   0.000    -.1813693    -.138005
------------------------------------------------------------------------------

.     lincom _b[10._at]-_b[5._at]

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.2789837   .0157256   -17.74   0.000    -.3098107   -.2481566
------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00000x.tmp"

. *Model: COVID-19 Behaviors, Authoritarianism 
. mi estimate: regress dv_behavior c.auth_scale##c.polengage_scale c.age##c.polengage_scale i.male##c.polengage_scale i.race##c.polengage_scale c.educatio
> n##c.polengage_scale c.income##c.polengage_scale i.sample_num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      4,029
                                                Average RVI       =     0.0040
                                                Largest FMI       =     0.0700
                                                Complete DF       =       3957
DF adjustment:   Small sample                   DF:     min       =   2,111.97
                                                        avg       =   3,818.01
                                                        max       =   3,950.25
Model F test:       Equal FMI                   F(  71, 3954.8)   =      15.08
Within VCE type:          OLS                   Prob > F          =     0.0000

------------------------------------------------------------------------------------------------
                   dv_behavior | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------------------------+----------------------------------------------------------------
                    auth_scale |   .0367659   .0370423     0.99   0.321     -.035858    .1093898
               polengage_scale |   .4026752   .0718669     5.60   0.000     .2617753    .5435751
                               |
c.auth_scale#c.polengage_scale |  -.1207176   .0520662    -2.32   0.020    -.2227969   -.0186383
                               |
                           age |   .3338402   .0517109     6.46   0.000     .2324427    .4352376
               polengage_scale |          0  (omitted)
                               |
       c.age#c.polengage_scale |  -.4426272   .0732594    -6.04   0.000    -.5862792   -.2989752
                               |
                        1.male |   .0066576   .0220199     0.30   0.762    -.0365173    .0498326
               polengage_scale |          0  (omitted)
                               |
        male#c.polengage_scale |
                            1  |  -.0470879   .0317922    -1.48   0.139    -.1094226    .0152467
                               |
                          race |
                            1  |   -.034041   .0401753    -0.85   0.397    -.1128073    .0447253
                            2  |   .0879404   .0479182     1.84   0.067    -.0060063    .1818871
                            3  |   .1030468   .0457485     2.25   0.024     .0133536      .19274
                               |
               polengage_scale |          0  (omitted)
                               |
        race#c.polengage_scale |
                            1  |   .0248327   .0603273     0.41   0.681    -.0934432    .1431086
                            2  |   -.040581   .0744247    -0.55   0.586    -.1864955    .1053335
                            3  |  -.1222166   .0708557    -1.72   0.085     -.261134    .0167008
                               |
                     education |   .0729715    .043456     1.68   0.093    -.0122295    .1581725
               polengage_scale |          0  (omitted)
                               |
 c.education#c.polengage_scale |  -.0297745   .0625925    -0.48   0.634    -.1524944    .0929453
                               |
                        income |   .1033426   .0411838     2.51   0.012     .0225775    .1841077
               polengage_scale |          0  (omitted)
                               |
    c.income#c.polengage_scale |  -.0599814   .0581055    -1.03   0.302    -.1739221    .0539593
                               |
                    sample_num |
                            3  |   .0122216   .0135802     0.90   0.368    -.0144032    .0388464
                            4  |  -.1527008   .0124123   -12.30   0.000     -.177036   -.1283656
                            5  |  -.0002833   .0156648    -0.02   0.986    -.0309952    .0304285
                               |
                       state_1 |   .1200439   .1451191     0.83   0.408    -.1644717    .4045596
                       state_2 |   .0116089   .1197683     0.10   0.923    -.2232051    .2464228
                       state_3 |   .1019174   .1215034     0.84   0.402    -.1362983    .3401332
                       state_4 |   .0629931   .1181404     0.53   0.594    -.1686294    .2946155
                       state_5 |   .1362771   .1166251     1.17   0.243    -.0923745    .3649287
                       state_6 |   .0200526   .1192456     0.17   0.866    -.2137365    .2538417
                       state_7 |   .1256231   .1223928     1.03   0.305    -.1143364    .3655826
                       state_8 |    .164833   .1275245     1.29   0.196    -.0851874    .4148535
                       state_9 |   .1214752      .1314     0.92   0.355    -.1361433    .3790938
                      state_10 |   .0779239   .1167995     0.67   0.505    -.1510695    .3069173
                      state_11 |     .08004   .1176083     0.68   0.496    -.1505391    .3106191
                      state_12 |   .2583585    .128042     2.02   0.044     .0073234    .5093936
                      state_13 |  -.0125625   .1221359    -0.10   0.918    -.2520184    .2268933
                      state_14 |   .1450564   .1295566     1.12   0.263    -.1089481    .3990608
                      state_15 |   .0613872   .1176885     0.52   0.602    -.1693492    .2921236
                      state_16 |   .0349227   .1189422     0.29   0.769    -.1982716     .268117
                      state_17 |   .0229152     .12127     0.19   0.850     -.214843    .2606734
                      state_18 |   .0962122   .1198931     0.80   0.422    -.1388465    .3312709
                      state_19 |   .0540787   .1204065     0.45   0.653    -.1819864    .2901438
                      state_20 |    .108403   .1191988     0.91   0.363    -.1252945    .3421004
                      state_21 |   .0924213   .1190982     0.78   0.438     -.141079    .3259215
                      state_22 |   .1388921   .1297044     1.07   0.284    -.1154022    .3931865
                      state_23 |   .0697839     .11792     0.59   0.554    -.1614063    .3009742
                      state_24 |   .0575931   .1203137     0.48   0.632    -.1782901    .2934762
                      state_25 |    .033491   .1188077     0.28   0.778    -.1994398    .2664217
                      state_26 |   .0495724   .1238265     0.40   0.689     -.193198    .2923428
                      state_27 |   -.021946   .1317358    -0.17   0.868    -.2802232    .2363311
                      state_28 |   .0729592   .1178082     0.62   0.536    -.1580119    .3039302
                      state_29 |  -.0877901   .1354494    -0.65   0.517    -.3533478    .1777676
                      state_30 |   .0622156   .1257897     0.49   0.621    -.1844036    .3088347
                      state_31 |  -.0571627   .1296529    -0.44   0.659    -.3113559    .1970306
                      state_32 |   .1078641   .1180417     0.91   0.361    -.1235647    .3392929
                      state_33 |   .0780407   .1308409     0.60   0.551    -.1784825     .334564
                      state_34 |   .0761606   .1207182     0.63   0.528    -.1605156    .3128369
                      state_35 |   .1339861   .1167162     1.15   0.251    -.0948439    .3628162
                      state_36 |   .0635035   .1175919     0.54   0.589    -.1670435    .2940505
                      state_37 |   .0374509   .1207098     0.31   0.756    -.1992089    .2741108
                      state_38 |   .1151749   .1202452     0.96   0.338    -.1205741    .3509238
                      state_39 |   .0677143   .1172479     0.58   0.564    -.1621582    .2975868
                      state_40 |   .0537204   .1315207     0.41   0.683    -.2041347    .3115755
                      state_41 |   .0769336    .119522     0.64   0.520    -.1573976    .3112647
                      state_42 |   -.245201   .1555379    -1.58   0.115    -.5501433    .0597413
                      state_43 |   .0195644   .1193358     0.16   0.870    -.2144017    .2535304
                      state_44 |   .0758343    .116749     0.65   0.516    -.1530601    .3047287
                      state_45 |   .0392792   .1234483     0.32   0.750    -.2027495     .281308
                      state_46 |   .0737052   .1184957     0.62   0.534    -.1586136     .306024
                      state_47 |   .0535106   .1372468     0.39   0.697     -.215571    .3225923
                      state_48 |   .0961175   .1189052     0.81   0.419    -.1370043    .3292394
                      state_49 |   .0723407   .1198802     0.60   0.546    -.1626926     .307374
                      state_50 |   .0926873   .1235224     0.75   0.453    -.1494868    .3348615
                      state_51 |  -.0291579   .1371451    -0.21   0.832    -.2980401    .2397243
                         _cons |     .45089   .1260296     3.58   0.000     .2038001    .6979798
------------------------------------------------------------------------------------------------

. quietly mimrgns, at(auth_scale=(0 1) polengage_scale=(0 .25 .5 .75 1)) coeflegend post

.     lincom _b[6._at]-_b[1._at]

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0367659   .0370423     0.99   0.321    -.0358578    .1093897
------------------------------------------------------------------------------

.     lincom _b[7._at]-_b[2._at]

 ( 1)  - 2._at + 7._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0065865   .0253093     0.26   0.795     -.043034     .056207
------------------------------------------------------------------------------

.     lincom _b[8._at]-_b[3._at]

 ( 1)  - 3._at + 8._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0235929   .0157433    -1.50   0.134    -.0544586    .0072728
------------------------------------------------------------------------------

.     lincom _b[9._at]-_b[4._at]

 ( 1)  - 4._at + 9._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0537723   .0139285    -3.86   0.000      -.08108   -.0264646
------------------------------------------------------------------------------

.     lincom _b[10._at]-_b[5._at]

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0839517   .0218864    -3.84   0.000    -.1268615    -.041042
------------------------------------------------------------------------------

. *Model: COVID-19 Behaviors, Latent NSC 
. mi estimate: regress dv_behavior c.latentnsc2##c.polengage_scale c.age##c.polengage_scale i.male##c.polengage_scale i.race##c.polengage_scale c.educatio
> n##c.polengage_scale c.income##c.polengage_scale i.sample_num 

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        970
                                                Average RVI       =     0.0100
                                                Largest FMI       =     0.0267
                                                Complete DF       =        951
DF adjustment:   Small sample                   DF:     min       =     899.21
                                                        avg       =     935.95
                                                        max       =     948.39
Model F test:       Equal FMI                   F(  18,  948.7)   =       4.11
Within VCE type:          OLS                   Prob > F          =     0.0000

------------------------------------------------------------------------------------------------
                   dv_behavior | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------------------------+----------------------------------------------------------------
                    latentnsc2 |   .0666241   .1464614     0.45   0.649    -.2208018    .3540501
               polengage_scale |   .2590463   .1818714     1.42   0.155    -.0978742    .6159668
                               |
c.latentnsc2#c.polengage_scale |   -.234829   .1881441    -1.25   0.212    -.6040558    .1343978
                               |
                           age |   .0901255   .1246461     0.72   0.470    -.1544888    .3347399
               polengage_scale |          0  (omitted)
                               |
       c.age#c.polengage_scale |  -.1725505   .1629775    -1.06   0.290    -.4923898    .1472888
                               |
                        1.male |  -.0707424   .0531278    -1.33   0.183    -.1750042    .0335193
               polengage_scale |          0  (omitted)
                               |
        male#c.polengage_scale |
                            1  |   .0172544   .0704212     0.25   0.806    -.1209454    .1554543
                               |
                          race |
                            1  |   -.047128   .1004187    -0.47   0.639    -.2441984    .1499423
                            2  |  -.0873595   .1275969    -0.68   0.494    -.3377691      .16305
                            3  |  -.0865041   .1229713    -0.70   0.482    -.3278407    .1548324
                               |
               polengage_scale |          0  (omitted)
                               |
        race#c.polengage_scale |
                            1  |  -.0058429   .1421805    -0.04   0.967    -.2848715    .2731856
                            2  |   .1136217   .1851794     0.61   0.540    -.2497945    .4770379
                            3  |   .0823609   .1745379     0.47   0.637    -.2601799    .4249018
                               |
                     education |    .018429   .1131457     0.16   0.871    -.2036183    .2404763
               polengage_scale |          0  (omitted)
                               |
 c.education#c.polengage_scale |   .0545586   .1532464     0.36   0.722    -.2461875    .3553048
                               |
                        income |   .1224582   .0905643     1.35   0.177    -.0552838    .3002002
               polengage_scale |          0  (omitted)
                               |
    c.income#c.polengage_scale |  -.0455863   .1195726    -0.38   0.703    -.2802562    .1890836
                               |
                  5.sample_num |  -.0241642   .0163947    -1.47   0.141    -.0563385    .0080102
                         _cons |   .7190468   .1297902     5.54   0.000      .464336    .9737575
------------------------------------------------------------------------------------------------

. quietly mimrgns, at(latentnsc2=(.1066294 .7065914) polengage_scale=(0 .25 .5 .75 1)) coeflegend post

.     lincom _b[6._at]-_b[1._at]

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0399719   .0878713     0.45   0.649    -.1324721     .212416
------------------------------------------------------------------------------

.     lincom _b[7._at]-_b[2._at]

 ( 1)  - 2._at + 7._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0047498   .0608721     0.08   0.938    -.1147093     .124209
------------------------------------------------------------------------------

.     lincom _b[8._at]-_b[3._at]

 ( 1)  - 3._at + 8._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0304723   .0358075    -0.85   0.395    -.1007432    .0397986
------------------------------------------------------------------------------

.     lincom _b[9._at]-_b[4._at]

 ( 1)  - 4._at + 9._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0656944   .0212523    -3.09   0.002    -.1074012   -.0239876
------------------------------------------------------------------------------

.     lincom _b[10._at]-_b[5._at]

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.1009165   .0348405    -2.90   0.004    -.1692896   -.0325435
------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_000010.tmp"

. mi estimate: regress z_dv_concern c.z_auth_scale##c.z_polengage_scale c.age##c.z_polengage_scale i.male##c.z_polengage_scale i.race##c.z_polengage_scale
>  c.education##c.z_polengage_scale c.income##c.z_polengage_scale i.sample_num  state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      5,484
                                                Average RVI       =     0.0037
                                                Largest FMI       =     0.1072
                                                Complete DF       =       5412
DF adjustment:   Small sample                   DF:     min       =   1,475.08
                                                        avg       =   5,223.05
                                                        max       =   5,406.85
Model F test:       Equal FMI                   F(  71, 5409.7)   =       8.30
Within VCE type:          OLS                   Prob > F          =     0.0000

----------------------------------------------------------------------------------------------------
                      z_dv_concern | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------------------------+----------------------------------------------------------------
                      z_auth_scale |  -.1227937   .0148571    -8.27   0.000    -.1519196   -.0936679
                 z_polengage_scale |   .0608582   .0812527     0.75   0.454      -.09843    .2201465
                                   |
c.z_auth_scale#c.z_polengage_scale |   -.120113   .0166839    -7.20   0.000    -.1528203   -.0874058
                                   |
                               age |   .0577414   .0731728     0.79   0.430    -.0857068    .2011896
                 z_polengage_scale |          0  (omitted)
                                   |
         c.age#c.z_polengage_scale |  -.2525596   .0848237    -2.98   0.003    -.4188482    -.086271
                                   |
                            1.male |   -.158419   .0303474    -5.22   0.000    -.2179121   -.0989258
                 z_polengage_scale |          0  (omitted)
                                   |
          male#c.z_polengage_scale |
                                1  |  -.0711003   .0348986    -2.04   0.042    -.1395157   -.0026849
                                   |
                              race |
                                1  |  -.1983891   .0599012    -3.31   0.001    -.3158197   -.0809585
                                2  |    .198405   .0730238     2.72   0.007     .0552486    .3415613
                                3  |   .0034526   .0766317     0.05   0.964    -.1467766    .1536819
                                   |
                 z_polengage_scale |          0  (omitted)
                                   |
          race#c.z_polengage_scale |
                                1  |   .1061971   .0664155     1.60   0.110    -.0240041    .2363983
                                2  |   .0806897    .079016     1.02   0.307    -.0742137     .235593
                                3  |   .0304631   .0847579     0.36   0.719    -.1356969     .196623
                                   |
                         education |   .0636911   .0562961     1.13   0.258    -.0466738    .1740559
                 z_polengage_scale |          0  (omitted)
                                   |
   c.education#c.z_polengage_scale |   .1146764   .0625408     1.83   0.067    -.0079294    .2372822
                                   |
                            income |  -.2080615   .0682526    -3.05   0.002    -.3419441   -.0741789
                 z_polengage_scale |          0  (omitted)
                                   |
      c.income#c.z_polengage_scale |   .0017896   .0671589     0.03   0.979    -.1298956    .1334748
                                   |
                        sample_num |
                                2  |  -.4765648   .0653199    -7.30   0.000    -.6046221   -.3485075
                                5  |   -.564814   .0589559    -9.58   0.000    -.6803916   -.4492363
                                6  |  -.2336085   .0457408    -5.11   0.000    -.3232821   -.1439349
                                   |
                           state_1 |   .0168714   .4984517     0.03   0.973    -.9602974    .9940403
                           state_2 |  -.1052309   .4552277    -0.23   0.817     -.997664    .7872023
                           state_3 |   .2281087   .4572163     0.50   0.618    -.6682228     1.12444
                           state_4 |  -.2603326   .4434017    -0.59   0.557    -1.129582    .6089169
                           state_5 |   .0559993   .4375342     0.13   0.898    -.8017475    .9137461
                           state_6 |   .0256741   .4478363     0.06   0.954    -.8522685    .9036167
                           state_7 |   .0870081   .4616186     0.19   0.851    -.8179535    .9919697
                           state_8 |   .5313483   .5316194     1.00   0.318     -.510842    1.573539
                           state_9 |   .2589987   .4832802     0.54   0.592     -.688428    1.206425
                          state_10 |   .0229121    .437873     0.05   0.958    -.8354986    .8813229
                          state_11 |  -.0012797   .4411669    -0.00   0.998    -.8661481    .8635887
                          state_12 |    .228421   .4920856     0.46   0.643    -.7362677     1.19311
                          state_13 |   .1565704   .4495253     0.35   0.728    -.7246837    1.037825
                          state_14 |   -.034627   .4605907    -0.08   0.940    -.9375733    .8683193
                          state_15 |   .1071472   .4405003     0.24   0.808    -.7564142    .9707087
                          state_16 |  -.0251197   .4458268    -0.06   0.955    -.8991231    .8488838
                          state_17 |   .0922975   .4540269     0.20   0.839    -.7977813    .9823764
                          state_18 |   .1936252   .4527911     0.43   0.669    -.6940311    1.081282
                          state_19 |  -.1165098   .4606412    -0.25   0.800    -1.019555    .7865359
                          state_20 |   .0497006   .4463484     0.11   0.911    -.8253253    .9247265
                          state_21 |   .2986071   .4457129     0.67   0.503    -.5751729    1.172387
                          state_22 |   .2512122    .470685     0.53   0.594    -.6715229    1.173947
                          state_23 |  -.0994526    .441024    -0.23   0.822    -.9640407    .7651355
                          state_24 |  -.0748595   .4492055    -0.17   0.868    -.9554867    .8057676
                          state_25 |   -.076886   .4455849    -0.17   0.863    -.9504155    .7966435
                          state_26 |   .1678748   .4613752     0.36   0.716    -.7366093    1.072359
                          state_27 |  -.1516465    .488271    -0.31   0.756    -1.108857    .8055643
                          state_28 |   -.003765    .442393    -0.01   0.993    -.8710371    .8635071
                          state_29 |  -.5567346    .612151    -0.91   0.363    -1.756799    .6433297
                          state_30 |  -.0049586     .47447    -0.01   0.992    -.9351139    .9251966
                          state_31 |   .0372636   .4746068     0.08   0.937    -.8931598    .9676869
                          state_32 |   .0816288    .442874     0.18   0.854    -.7865859    .9498434
                          state_33 |  -.1762587   .4671738    -0.38   0.706     -1.09211    .7395929
                          state_34 |   .0014869   .4564803     0.00   0.997    -.8934015    .8963754
                          state_35 |   .1778762   .4388533     0.41   0.685    -.6824565    1.038209
                          state_36 |    .139243   .4410374     0.32   0.752    -.7253715    1.003857
                          state_37 |   .3029182   .4627503     0.65   0.513    -.6042622    1.210099
                          state_38 |  -.1552954   .4508273    -0.34   0.731    -1.039102     .728511
                          state_39 |   .0851118   .4393114     0.19   0.846     -.776119    .9463426
                          state_40 |   .3191404    .497697     0.64   0.521     -.656549     1.29483
                          state_41 |   .0258492    .451557     0.06   0.954    -.8593879    .9110862
                          state_42 |   .1844564   .4838419     0.38   0.703    -.7640716    1.132984
                          state_43 |   .0049008   .4465509     0.01   0.991    -.8705223    .8803239
                          state_44 |  -.0306427   .4382417    -0.07   0.944    -.8897764     .828491
                          state_45 |  -.0828976   .4568545    -0.18   0.856    -.9785198    .8127246
                          state_46 |   .0200885   .4438852     0.05   0.964    -.8501087    .8902856
                          state_47 |   .3336133   .5110904     0.65   0.514     -.668332    1.335559
                          state_48 |  -.1521117   .4431256    -0.34   0.731     -1.02082    .7165961
                          state_49 |   .0343554   .4444838     0.08   0.938    -.8370155    .9057264
                          state_50 |   .1732924   .4618655     0.38   0.708    -.7321532    1.078738
                          state_51 |  -.0907692    .531558    -0.17   0.864    -1.132839     .951301
                             _cons |   .4524204   .4443923     1.02   0.309    -.4187723    1.323613
----------------------------------------------------------------------------------------------------

. mi estimate: regress z_dv_concern c.z_latentnsc2##c.z_polengage_scale c.age##c.z_polengage_scale i.male##c.z_polengage_scale i.race##c.z_polengage_scale
>  c.education##c.z_polengage_scale c.income##c.z_polengage_scale i.sample_num 

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        965
                                                Average RVI       =     0.0112
                                                Largest FMI       =     0.0415
                                                Complete DF       =        946
DF adjustment:   Small sample                   DF:     min       =     850.29
                                                        avg       =     926.40
                                                        max       =     943.16
Model F test:       Equal FMI                   F(  18,  943.7)   =       2.70
Within VCE type:          OLS                   Prob > F          =     0.0002

----------------------------------------------------------------------------------------------------
                      z_dv_concern | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------------------------+----------------------------------------------------------------
                      z_latentnsc2 |  -.0350427   .0335082    -1.05   0.296    -.1008021    .0307166
                 z_polengage_scale |   .0051079   .2227747     0.02   0.982    -.4320921     .442308
                                   |
c.z_latentnsc2#c.z_polengage_scale |  -.0915366   .0475639    -1.92   0.055    -.1848799    .0018067
                                   |
                               age |   .0590744   .1757151     0.34   0.737    -.2857636    .4039124
                 z_polengage_scale |          0  (omitted)
                                   |
         c.age#c.z_polengage_scale |  -.2174627   .2361314    -0.92   0.357     -.680867    .2459417
                                   |
                            1.male |  -.1789498   .0726084    -2.46   0.014    -.3214426   -.0364569
                 z_polengage_scale |          0  (omitted)
                                   |
          male#c.z_polengage_scale |
                                1  |   .1391392   .1000054     1.39   0.164    -.0571198    .3353983
                                   |
                              race |
                                1  |  -.1769982   .1495672    -1.18   0.237    -.4705266    .1165302
                                2  |   .2610632   .1867836     1.40   0.163    -.1055175     .627644
                                3  |    .068515   .1812327     0.38   0.705    -.2871629    .4241928
                                   |
                 z_polengage_scale |          0  (omitted)
                                   |
          race#c.z_polengage_scale |
                                1  |   .1017592   .1987341     0.51   0.609    -.2882666     .491785
                                2  |  -.1736891   .2642157    -0.66   0.511    -.6922806    .3449024
                                3  |  -.1463177    .239214    -0.61   0.541    -.6157989    .3231636
                                   |
                         education |    .355872   .1593535     2.23   0.026     .0431402    .6686038
                 z_polengage_scale |          0  (omitted)
                                   |
   c.education#c.z_polengage_scale |    .162042   .2150899     0.75   0.451    -.2600747    .5841586
                                   |
                            income |  -.2699788   .1358155    -1.99   0.047    -.5365199   -.0034377
                 z_polengage_scale |          0  (omitted)
                                   |
      c.income#c.z_polengage_scale |  -.0397224   .1686578    -0.24   0.814    -.3707183    .2912734
                                   |
                      5.sample_num |  -.0634346   .0821667    -0.77   0.440    -.2246857    .0978165
                             _cons |   -.170342   .1821138    -0.94   0.350     -.527742    .1870581
----------------------------------------------------------------------------------------------------

. mi estimate: regress z_dv_restrictions c.z_auth_scale##c.z_polengage_scale c.age##c.z_polengage_scale i.male##c.z_polengage_scale i.race##c.z_polengage_
> scale c.education##c.z_polengage_scale c.income##c.z_polengage_scale i.sample_num  state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      6,870
                                                Average RVI       =     0.0044
                                                Largest FMI       =     0.0907
                                                Complete DF       =       6800
DF adjustment:   Small sample                   DF:     min       =   2,002.73
                                                        avg       =   6,579.36
                                                        max       =   6,797.96
Model F test:       Equal FMI                   F(  69, 6797.4)   =      15.39
Within VCE type:          OLS                   Prob > F          =     0.0000

----------------------------------------------------------------------------------------------------
                 z_dv_restrictions | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------------------------+----------------------------------------------------------------
                      z_auth_scale |  -.1312773    .011407   -11.51   0.000    -.1536386    -.108916
                 z_polengage_scale |    .167204   .0569398     2.94   0.003     .0555837    .2788243
                                   |
c.z_auth_scale#c.z_polengage_scale |  -.1371713   .0125303   -10.95   0.000    -.1617346   -.1126079
                                   |
                               age |  -.3121973   .0584788    -5.34   0.000     -.426835   -.1975596
                 z_polengage_scale |          0  (omitted)
                                   |
         c.age#c.z_polengage_scale |  -.2659785   .0653022    -4.07   0.000    -.3940066   -.1379504
                                   |
                            1.male |  -.1151778   .0239391    -4.81   0.000    -.1621066   -.0682489
                 z_polengage_scale |          0  (omitted)
                                   |
          male#c.z_polengage_scale |
                                1  |  -.1362539   .0263064    -5.18   0.000    -.1878234   -.0846845
                                   |
                              race |
                                1  |  -.0603863   .0450582    -1.34   0.180    -.1487145    .0279419
                                2  |    .422577   .0572075     7.39   0.000     .3104325    .5347216
                                3  |   .1143638   .0568341     2.01   0.044     .0029513    .2257764
                                   |
                 z_polengage_scale |          0  (omitted)
                                   |
          race#c.z_polengage_scale |
                                1  |  -.0112814    .047798    -0.24   0.813    -.1049804    .0824176
                                2  |   .1665829   .0599138     2.78   0.005     .0491329    .2840328
                                3  |  -.0039342   .0599662    -0.07   0.948    -.1214868    .1136184
                                   |
                         education |    .213813   .0458081     4.67   0.000     .1240129    .3036131
                 z_polengage_scale |          0  (omitted)
                                   |
   c.education#c.z_polengage_scale |   .0380351   .0505095     0.75   0.451    -.0609818    .1370521
                                   |
                            income |   .1099255   .0497707     2.21   0.027     .0123177    .2075333
                 z_polengage_scale |          0  (omitted)
                                   |
      c.income#c.z_polengage_scale |  -.0862985   .0548837    -1.57   0.116    -.1939285    .0213315
                                   |
                        sample_num |
                                4  |   -.254644   .0355572    -7.16   0.000    -.3243473   -.1849407
                                6  |   .0455345   .0344227     1.32   0.186    -.0219449    .1130138
                                   |
                           state_1 |   .3961529   .3047339     1.30   0.194     -.201221    .9935268
                           state_2 |   .0747135   .2525728     0.30   0.767    -.4204083    .5698353
                           state_3 |   .2623117   .2567854     1.02   0.307    -.2410681    .7656915
                           state_4 |   .0721508   .2439591     0.30   0.767    -.4060854     .550387
                           state_5 |   .4201616   .2378325     1.77   0.077    -.0460646    .8863877
                           state_6 |   .2344492   .2479128     0.95   0.344    -.2515375    .7204359
                           state_7 |   .2972903   .2619084     1.14   0.256    -.2161322    .8107127
                           state_8 |   .8727634   .3026958     2.88   0.004      .279385    1.466142
                           state_9 |   .3282326    .297378     1.10   0.270    -.2547213    .9111865
                          state_10 |   .2150366   .2382076     0.90   0.367    -.2519248    .6819981
                          state_11 |    .203558    .242837     0.84   0.402    -.2724786    .6795946
                          state_12 |   .5191294   .2861311     1.81   0.070    -.0417771    1.080036
                          state_13 |   .3195041   .2579213     1.24   0.215    -.1861023    .8251106
                          state_14 |   .2759705   .2713111     1.02   0.309    -.2558842    .8078253
                          state_15 |   .2645932   .2423894     1.09   0.275    -.2105659    .7397523
                          state_16 |   .1537145   .2475118     0.62   0.535    -.3314861    .6389151
                          state_17 |   .3424453   .2589111     1.32   0.186    -.1651015     .849992
                          state_18 |   .3658258   .2540894     1.44   0.150    -.1322689    .8639205
                          state_19 |   -.118009   .2579607    -0.46   0.647    -.6236927    .3876747
                          state_20 |   .3646178   .2473044     1.47   0.140    -.1201762    .8494118
                          state_21 |   .4354995   .2478488     1.76   0.079    -.0503619    .9213608
                          state_22 |   .4019137   .2764014     1.45   0.146    -.1399195     .943747
                          state_23 |   .2110134   .2426318     0.87   0.385    -.2646208    .6866476
                          state_24 |   .2922512   .2518721     1.16   0.246     -.201497    .7859994
                          state_25 |   .0240326   .2463423     0.10   0.922    -.4588754    .5069407
                          state_26 |  -.0969351   .2708111    -0.36   0.720    -.6278096    .4339395
                          state_27 |  -.1220229   .2878081    -0.42   0.672    -.6862169     .442171
                          state_28 |   .1950102   .2438907     0.80   0.424     -.283092    .6731124
                          state_29 |  -.1289794   .3378909    -0.38   0.703    -.7913513    .5333924
                          state_30 |   .1949842   .2711851     0.72   0.472    -.3366236     .726592
                          state_31 |   .0226942   .2808795     0.08   0.936    -.5279175    .5733058
                          state_32 |   .1922572   .2442229     0.79   0.431    -.2864961    .6710105
                          state_33 |  -.1843848   .2732578    -0.67   0.500    -.7200557     .351286
                          state_34 |   .1396333   .2580491     0.54   0.588    -.3662237    .6454903
                          state_35 |   .5128717   .2389366     2.15   0.032     .0444812    .9812621
                          state_36 |    .280807   .2421702     1.16   0.246    -.1939224    .7555365
                          state_37 |   .2517809   .2621473     0.96   0.337    -.2621098    .7656716
                          state_38 |   .2105488   .2531799     0.83   0.406     -.285763    .7068606
                          state_39 |   .1579157    .239613     0.66   0.510    -.3118007    .6276322
                          state_40 |   .6233159   .3019767     2.06   0.039     .0313472    1.215285
                          state_41 |   .2973312   .2525173     1.18   0.239    -.1976817    .7923441
                          state_42 |  -.1908715   .2994166    -0.64   0.524    -.7778218    .3960787
                          state_43 |   .1965473   .2479653     0.79   0.428    -.2895424     .682637
                          state_44 |   .2060738   .2387154     0.86   0.388    -.2618832    .6740308
                          state_45 |   .0422508   .2627683     0.16   0.872    -.4728573    .5573589
                          state_46 |   .1925908   .2452763     0.79   0.432    -.2882276    .6734092
                          state_47 |   .3197172   .3049016     1.05   0.294    -.2779854    .9174198
                          state_48 |   .1868516   .2452725     0.76   0.446    -.2939593    .6676626
                          state_49 |   .1865858   .2466781     0.76   0.449    -.2969804    .6701521
                          state_50 |   .3301729   .2671449     1.24   0.217    -.1935147    .8538605
                          state_51 |          0  (omitted)
                             _cons |  -.0988372   .2430852    -0.41   0.684    -.5753603    .3776859
----------------------------------------------------------------------------------------------------

. mi estimate: regress z_dv_behavior c.z_auth_scale##c.z_polengage_scale c.age##c.z_polengage_scale i.male##c.z_polengage_scale i.race##c.z_polengage_scal
> e c.education##c.z_polengage_scale c.income##c.z_polengage_scale i.sample_num  state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      4,029
                                                Average RVI       =     0.0040
                                                Largest FMI       =     0.0580
                                                Complete DF       =       3957
DF adjustment:   Small sample                   DF:     min       =   2,456.86
                                                        avg       =   3,868.59
                                                        max       =   3,950.25
Model F test:       Equal FMI                   F(  71, 3954.8)   =      15.08
Within VCE type:          OLS                   Prob > F          =     0.0000

----------------------------------------------------------------------------------------------------
                     z_dv_behavior | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------------------------+----------------------------------------------------------------
                      z_auth_scale |  -.0576825   .0165112    -3.49   0.000    -.0900538   -.0253112
                 z_polengage_scale |    .386237   .0757311     5.10   0.000     .2377608    .5347131
                                   |
c.z_auth_scale#c.z_polengage_scale |  -.0428684   .0184894    -2.32   0.020    -.0791181   -.0066187
                                   |
                               age |   .1152125   .0724255     1.59   0.112    -.0267859    .2572109
                 z_polengage_scale |          0  (omitted)
                                   |
         c.age#c.z_polengage_scale |  -.4980778   .0824371    -6.04   0.000     -.659726   -.3364296
                                   |
                            1.male |   -.101618   .0311973    -3.26   0.001    -.1627829   -.0404531
                 z_polengage_scale |          0  (omitted)
                                   |
          male#c.z_polengage_scale |
                                1  |  -.0529869    .035775    -1.48   0.139    -.1231307    .0171568
                                   |
                              race |
                                1  |  -.0668854   .0605694    -1.10   0.270    -.1856358    .0518649
                                2  |   .2368079   .0773231     3.06   0.002     .0852107     .388405
                                3  |   .0746991   .0729287     1.02   0.306    -.0682826    .2176807
                                   |
                 z_polengage_scale |          0  (omitted)
                                   |
          race#c.z_polengage_scale |
                                1  |   .0279436   .0678849     0.41   0.681    -.1051494    .1610366
                                2  |  -.0456648   .0837483    -0.55   0.586    -.2098589    .1185293
                                3  |  -.1375274   .0797322    -1.72   0.085    -.2938478     .018793
                                   |
                         education |   .2070886   .0631189     3.28   0.001     .0833398    .3308374
                 z_polengage_scale |          0  (omitted)
                                   |
   c.education#c.z_polengage_scale |  -.0335046   .0704338    -0.48   0.634    -.1715983    .1045892
                                   |
                            income |   .2448958   .0570074     4.30   0.000     .1331268    .3566647
                 z_polengage_scale |          0  (omitted)
                                   |
      c.income#c.z_polengage_scale |  -.0674956   .0653847    -1.03   0.302    -.1957104    .0607191
                                   |
                        sample_num |
                                3  |   .0482281   .0535893     0.90   0.368    -.0568371    .1532933
                                4  |  -.6025783   .0489808   -12.30   0.000    -.6986083   -.5065483
                                5  |  -.0011181   .0618154    -0.02   0.986    -.1223112    .1200749
                                   |
                           state_1 |   .4737097   .5726597     0.83   0.408    -.6490279    1.596447
                           state_2 |   .0458102   .4726221     0.10   0.923    -.8807977    .9724181
                           state_3 |   .4021801   .4794691     0.84   0.402    -.5378519    1.342212
                           state_4 |   .2485792   .4661982     0.53   0.594    -.6654345    1.162593
                           state_5 |    .537768   .4602187     1.17   0.243    -.3645224    1.440058
                           state_6 |   .0791302   .4705593     0.17   0.866    -.8434336    1.001694
                           state_7 |   .4957259   .4829788     1.03   0.305     -.451187    1.442639
                           state_8 |   .6504536   .5032291     1.29   0.196    -.3361612    1.637068
                           state_9 |   .4793577   .5185223     0.92   0.355    -.5372402    1.495956
                          state_10 |   .3074983   .4609066     0.67   0.505    -.5961408    1.211137
                          state_11 |   .3158488   .4640984     0.68   0.496    -.5940479    1.225745
                          state_12 |   1.019518   .5052713     2.02   0.044     .0288992    2.010136
                          state_13 |  -.0495735   .4819651    -0.10   0.918     -.994499    .8953519
                          state_14 |   .5724122    .511248     1.12   0.263     -.429924    1.574748
                          state_15 |   .2422422   .4644148     0.52   0.602     -.668275    1.152759
                          state_16 |   .1378097   .4693621     0.29   0.769    -.7824067    1.058026
                          state_17 |   .0904264   .4785481     0.19   0.850    -.8477998    1.028653
                          state_18 |   .3796664   .4731146     0.80   0.422    -.5479072     1.30724
                          state_19 |   .2134018   .4751403     0.45   0.653    -.7181433    1.144947
                          state_20 |   .4277729   .4703748     0.91   0.363    -.4944292    1.349975
                          state_21 |   .3647069   .4699779     0.78   0.438     -.556717    1.286131
                          state_22 |   .5480873   .5118314     1.07   0.284     -.455393    1.551568
                          state_23 |   .2753768   .4653284     0.59   0.554    -.6369315    1.187685
                          state_24 |   .2272701   .4747743     0.48   0.632     -.703557    1.158097
                          state_25 |   .1321598   .4688316     0.28   0.778    -.7870166    1.051336
                          state_26 |   .1956195   .4886364     0.40   0.689    -.7623857    1.153625
                          state_27 |  -.0866021   .5198476    -0.17   0.868    -1.105799    .9325947
                          state_28 |   .2879068   .4648872     0.62   0.536    -.6235364     1.19935
                          state_29 |  -.3464317   .5345019    -0.65   0.517    -1.394359    .7014952
                          state_30 |   .2455112   .4963831     0.49   0.621    -.7276817    1.218704
                          state_31 |  -.2255717    .511628    -0.44   0.659    -1.228653    .7775095
                          state_32 |   .4256463   .4658085     0.91   0.361    -.4876034    1.338896
                          state_33 |   .3079593   .5163159     0.60   0.551    -.7043164    1.320235
                          state_34 |   .3005403   .4763704     0.63   0.528    -.6334166    1.234497
                          state_35 |   .5287276   .4605779     1.15   0.251    -.3742671    1.431722
                          state_36 |   .2505935   .4640336     0.54   0.589    -.6591763    1.160363
                          state_37 |   .1477864   .4763373     0.31   0.756    -.7861056    1.081678
                          state_38 |   .4544957   .4745039     0.96   0.338    -.4758018    1.384793
                          state_39 |     .26721    .462676     0.58   0.564    -.6398983    1.174318
                          state_40 |   .2119879   .5189985     0.41   0.683    -.8055436    1.229519
                          state_41 |   .3035904   .4716503     0.64   0.520    -.6211123    1.228293
                          state_42 |  -.9675968   .6137736    -1.58   0.115    -2.170941    .2357471
                          state_43 |   .0772037   .4709153     0.16   0.870    -.8460582    1.000466
                          state_44 |   .2992524   .4607074     0.65   0.516    -.6039962    1.202501
                          state_45 |   .1550012   .4871437     0.32   0.750    -.8000771     1.11008
                          state_46 |   .2908508      .4676     0.62   0.534     -.625911    1.207613
                          state_47 |   .2111603   .5415947     0.39   0.697    -.8506725    1.272993
                          state_48 |   .3792929   .4692163     0.81   0.419    -.5406377    1.299224
                          state_49 |   .2854662   .4730634     0.60   0.546     -.642007     1.21294
                          state_50 |   .3657569   .4874364     0.75   0.453    -.5898953    1.321409
                          state_51 |  -.1150612   .5411934    -0.21   0.832    -1.176107    .9459847
                             _cons |  -.1826081   .4650659    -0.39   0.695    -1.094402    .7291854
----------------------------------------------------------------------------------------------------

. mi estimate: regress z_dv_behavior c.z_latentnsc2##c.z_polengage_scale c.age##c.z_polengage_scale i.male##c.z_polengage_scale i.race##c.z_polengage_scal
> e c.education##c.z_polengage_scale c.income##c.z_polengage_scale i.sample_num 

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        970
                                                Average RVI       =     0.0100
                                                Largest FMI       =     0.0224
                                                Complete DF       =        951
DF adjustment:   Small sample                   DF:     min       =     910.40
                                                        avg       =     933.40
                                                        max       =     948.29
Model F test:       Equal FMI                   F(  18,  948.7)   =       4.11
Within VCE type:          OLS                   Prob > F          =     0.0000

----------------------------------------------------------------------------------------------------
                     z_dv_behavior | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------------------------+----------------------------------------------------------------
                      z_latentnsc2 |  -.0655284   .0259296    -2.53   0.012    -.1164144   -.0146423
                 z_polengage_scale |   .1719703   .1825591     0.94   0.346    -.1863008    .5302414
                                   |
c.z_latentnsc2#c.z_polengage_scale |  -.0461896    .037007    -1.25   0.212    -.1188146    .0264353
                                   |
                               age |  -.1129958   .1361452    -0.83   0.407    -.3801789    .1541873
                 z_polengage_scale |          0  (omitted)
                                   |
         c.age#c.z_polengage_scale |  -.1941669   .1833947    -1.06   0.290    -.5540744    .1657406
                                   |
                            1.male |  -.2322967   .0571849    -4.06   0.000    -.3445212   -.1200721
                 z_polengage_scale |          0  (omitted)
                                   |
          male#c.z_polengage_scale |
                                1  |    .019416   .0792433     0.25   0.806     -.136097     .174929
                                   |
                              race |
                                1  |  -.2018429   .1163403    -1.73   0.083    -.4301654    .0264796
                                2  |  -.0361384    .144879    -0.25   0.803    -.3204667    .2481899
                                3  |  -.1176666   .1426554    -0.82   0.410     -.397637    .1623038
                                   |
                 z_polengage_scale |          0  (omitted)
                                   |
          race#c.z_polengage_scale |
                                1  |  -.0065749   .1599923    -0.04   0.967     -.320559    .3074092
                                2  |   .1278558   .2083779     0.61   0.540    -.2810878    .5367993
                                3  |   .0926788   .1964033     0.47   0.637    -.2927742    .4781318
                                   |
                         education |   .2209034   .1275418     1.73   0.084     -.029398    .4712049
                 z_polengage_scale |          0  (omitted)
                                   |
   c.education#c.z_polengage_scale |   .0613935   .1724446     0.36   0.722     -.277029    .3998159
                                   |
                            income |   .3594254   .1078654     3.33   0.001     .1477338     .571117
                 z_polengage_scale |          0  (omitted)
                                   |
      c.income#c.z_polengage_scale |  -.0512971   .1345521    -0.38   0.703    -.3153656    .2127713
                                   |
                      5.sample_num |  -.0953552   .0646958    -1.47   0.141    -.2223196    .0316092
                             _cons |   .4059065   .1420348     2.86   0.004     .1271609    .6846521
----------------------------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_000011.tmp"

. 
. * Reverse-Coded Covariances Modeled
. mi estimate: regress z_dv_concern c.z_latentnsc2##c.z_polengage_scale c.age##c.z_polengage_scale i.male##c.z_polengage_scale i.race##c.z_polengage_scale
>  c.education##c.z_polengage_scale c.income##c.z_polengage_scale i.sample_num

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        965
                                                Average RVI       =     0.0112
                                                Largest FMI       =     0.0415
                                                Complete DF       =        946
DF adjustment:   Small sample                   DF:     min       =     850.29
                                                        avg       =     926.40
                                                        max       =     943.16
Model F test:       Equal FMI                   F(  18,  943.7)   =       2.70
Within VCE type:          OLS                   Prob > F          =     0.0002

----------------------------------------------------------------------------------------------------
                      z_dv_concern | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------------------------+----------------------------------------------------------------
                      z_latentnsc2 |  -.0350427   .0335082    -1.05   0.296    -.1008021    .0307166
                 z_polengage_scale |   .0051079   .2227747     0.02   0.982    -.4320921     .442308
                                   |
c.z_latentnsc2#c.z_polengage_scale |  -.0915366   .0475639    -1.92   0.055    -.1848799    .0018067
                                   |
                               age |   .0590744   .1757151     0.34   0.737    -.2857636    .4039124
                 z_polengage_scale |          0  (omitted)
                                   |
         c.age#c.z_polengage_scale |  -.2174627   .2361314    -0.92   0.357     -.680867    .2459417
                                   |
                            1.male |  -.1789498   .0726084    -2.46   0.014    -.3214426   -.0364569
                 z_polengage_scale |          0  (omitted)
                                   |
          male#c.z_polengage_scale |
                                1  |   .1391392   .1000054     1.39   0.164    -.0571198    .3353983
                                   |
                              race |
                                1  |  -.1769982   .1495672    -1.18   0.237    -.4705266    .1165302
                                2  |   .2610632   .1867836     1.40   0.163    -.1055175     .627644
                                3  |    .068515   .1812327     0.38   0.705    -.2871629    .4241928
                                   |
                 z_polengage_scale |          0  (omitted)
                                   |
          race#c.z_polengage_scale |
                                1  |   .1017592   .1987341     0.51   0.609    -.2882666     .491785
                                2  |  -.1736891   .2642157    -0.66   0.511    -.6922806    .3449024
                                3  |  -.1463177    .239214    -0.61   0.541    -.6157989    .3231636
                                   |
                         education |    .355872   .1593535     2.23   0.026     .0431402    .6686038
                 z_polengage_scale |          0  (omitted)
                                   |
   c.education#c.z_polengage_scale |    .162042   .2150899     0.75   0.451    -.2600747    .5841586
                                   |
                            income |  -.2699788   .1358155    -1.99   0.047    -.5365199   -.0034377
                 z_polengage_scale |          0  (omitted)
                                   |
      c.income#c.z_polengage_scale |  -.0397224   .1686578    -0.24   0.814    -.3707183    .2912734
                                   |
                      5.sample_num |  -.0634346   .0821667    -0.77   0.440    -.2246857    .0978165
                             _cons |   -.170342   .1821138    -0.94   0.350     -.527742    .1870581
----------------------------------------------------------------------------------------------------

. mi estimate: regress z_dv_behavior c.z_latentnsc2##c.z_polengage_scale c.age##c.z_polengage_scale i.male##c.z_polengage_scale i.race##c.z_polengage_scal
> e c.education##c.z_polengage_scale c.income##c.z_polengage_scale i.sample_num 

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        970
                                                Average RVI       =     0.0100
                                                Largest FMI       =     0.0224
                                                Complete DF       =        951
DF adjustment:   Small sample                   DF:     min       =     910.40
                                                        avg       =     933.40
                                                        max       =     948.29
Model F test:       Equal FMI                   F(  18,  948.7)   =       4.11
Within VCE type:          OLS                   Prob > F          =     0.0000

----------------------------------------------------------------------------------------------------
                     z_dv_behavior | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------------------------+----------------------------------------------------------------
                      z_latentnsc2 |  -.0655284   .0259296    -2.53   0.012    -.1164144   -.0146423
                 z_polengage_scale |   .1719703   .1825591     0.94   0.346    -.1863008    .5302414
                                   |
c.z_latentnsc2#c.z_polengage_scale |  -.0461896    .037007    -1.25   0.212    -.1188146    .0264353
                                   |
                               age |  -.1129958   .1361452    -0.83   0.407    -.3801789    .1541873
                 z_polengage_scale |          0  (omitted)
                                   |
         c.age#c.z_polengage_scale |  -.1941669   .1833947    -1.06   0.290    -.5540744    .1657406
                                   |
                            1.male |  -.2322967   .0571849    -4.06   0.000    -.3445212   -.1200721
                 z_polengage_scale |          0  (omitted)
                                   |
          male#c.z_polengage_scale |
                                1  |    .019416   .0792433     0.25   0.806     -.136097     .174929
                                   |
                              race |
                                1  |  -.2018429   .1163403    -1.73   0.083    -.4301654    .0264796
                                2  |  -.0361384    .144879    -0.25   0.803    -.3204667    .2481899
                                3  |  -.1176666   .1426554    -0.82   0.410     -.397637    .1623038
                                   |
                 z_polengage_scale |          0  (omitted)
                                   |
          race#c.z_polengage_scale |
                                1  |  -.0065749   .1599923    -0.04   0.967     -.320559    .3074092
                                2  |   .1278558   .2083779     0.61   0.540    -.2810878    .5367993
                                3  |   .0926788   .1964033     0.47   0.637    -.2927742    .4781318
                                   |
                         education |   .2209034   .1275418     1.73   0.084     -.029398    .4712049
                 z_polengage_scale |          0  (omitted)
                                   |
   c.education#c.z_polengage_scale |   .0613935   .1724446     0.36   0.722     -.277029    .3998159
                                   |
                            income |   .3594254   .1078654     3.33   0.001     .1477338     .571117
                 z_polengage_scale |          0  (omitted)
                                   |
      c.income#c.z_polengage_scale |  -.0512971   .1345521    -0.38   0.703    -.3153656    .2127713
                                   |
                      5.sample_num |  -.0953552   .0646958    -1.47   0.141    -.2223196    .0316092
                             _cons |   .4059065   .1420348     2.86   0.004     .1271609    .6846521
----------------------------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_000012.tmp"

. 
. * Reverse-Coded Covariances Not Modeled
. mi estimate: regress z_dv_concern c.z_latentnsc1##c.z_polengage_scale c.age##c.z_polengage_scale i.male##c.z_polengage_scale i.race##c.z_polengage_scale
>  c.education##c.z_polengage_scale c.income##c.z_polengage_scale i.sample_num

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        965
                                                Average RVI       =     0.0110
                                                Largest FMI       =     0.0412
                                                Complete DF       =        946
DF adjustment:   Small sample                   DF:     min       =     851.26
                                                        avg       =     926.43
                                                        max       =     943.18
Model F test:       Equal FMI                   F(  18,  943.7)   =       2.73
Within VCE type:          OLS                   Prob > F          =     0.0001

----------------------------------------------------------------------------------------------------
                      z_dv_concern | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------------------------+----------------------------------------------------------------
                      z_latentnsc1 |  -.0331548   .0346946    -0.96   0.340    -.1012424    .0349328
                 z_polengage_scale |  -.0037643   .2229539    -0.02   0.987    -.4413161    .4337875
                                   |
c.z_latentnsc1#c.z_polengage_scale |  -.0998332   .0483368    -2.07   0.039    -.1946933   -.0049731
                                   |
                               age |   .0592809   .1763265     0.34   0.737    -.2867569    .4053186
                 z_polengage_scale |          0  (omitted)
                                   |
         c.age#c.z_polengage_scale |  -.2045441   .2364977    -0.86   0.387    -.6686673     .259579
                                   |
                            1.male |  -.1782886   .0725581    -2.46   0.014    -.3206827   -.0358946
                 z_polengage_scale |          0  (omitted)
                                   |
          male#c.z_polengage_scale |
                                1  |   .1382045   .0999874     1.38   0.167    -.0580194    .3344284
                                   |
                              race |
                                1  |  -.1826729   .1495532    -1.22   0.222    -.4761739    .1108281
                                2  |   .2571004    .186699     1.38   0.169    -.1093143    .6235151
                                3  |   .0674959   .1811644     0.37   0.710    -.2880479    .4230397
                                   |
                 z_polengage_scale |          0  (omitted)
                                   |
          race#c.z_polengage_scale |
                                1  |   .0999025    .198784     0.50   0.615    -.2902212    .4900262
                                2  |  -.1662391   .2643911    -0.63   0.530     -.685174    .3526959
                                3  |  -.1399003   .2392119    -0.58   0.559    -.6093772    .3295766
                                   |
                         education |   .3531401   .1592365     2.22   0.027     .0406379    .6656423
                 z_polengage_scale |          0  (omitted)
                                   |
   c.education#c.z_polengage_scale |   .1652766   .2150298     0.77   0.442     -.256722    .5872752
                                   |
                            income |  -.2674613   .1358071    -1.97   0.049    -.5339861   -.0009365
                 z_polengage_scale |          0  (omitted)
                                   |
      c.income#c.z_polengage_scale |  -.0351164   .1685544    -0.21   0.835    -.3659094    .2956765
                                   |
                      5.sample_num |  -.0647908   .0821576    -0.79   0.431     -.226024    .0964424
                             _cons |  -.1664161   .1822048    -0.91   0.361    -.5239947    .1911625
----------------------------------------------------------------------------------------------------

. mi estimate: regress z_dv_behavior c.z_latentnsc1##c.z_polengage_scale c.age##c.z_polengage_scale i.male##c.z_polengage_scale i.race##c.z_polengage_scal
> e c.education##c.z_polengage_scale c.income##c.z_polengage_scale i.sample_num 

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        970
                                                Average RVI       =     0.0098
                                                Largest FMI       =     0.0217
                                                Complete DF       =        951
DF adjustment:   Small sample                   DF:     min       =     912.05
                                                        avg       =     933.88
                                                        max       =     948.18
Model F test:       Equal FMI                   F(  18,  948.7)   =       4.30
Within VCE type:          OLS                   Prob > F          =     0.0000

----------------------------------------------------------------------------------------------------
                     z_dv_behavior | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------------------------+----------------------------------------------------------------
                      z_latentnsc1 |  -.0872018   .0269364    -3.24   0.001    -.1400636     -.03434
                 z_polengage_scale |   .1810347   .1825478     0.99   0.322    -.1772141    .5392836
                                   |
c.z_latentnsc1#c.z_polengage_scale |  -.0283939   .0379128    -0.75   0.454    -.1027966    .0460089
                                   |
                               age |  -.0804251    .136547    -0.59   0.556    -.3483967    .1875466
                 z_polengage_scale |          0  (omitted)
                                   |
         c.age#c.z_polengage_scale |  -.2068084   .1837105    -1.13   0.261    -.5673357    .1537189
                                   |
                            1.male |  -.2291665   .0570596    -4.02   0.000    -.3411452   -.1171879
                 z_polengage_scale |          0  (omitted)
                                   |
          male#c.z_polengage_scale |
                                1  |   .0184157   .0790969     0.23   0.816      -.13681    .1736414
                                   |
                              race |
                                1  |  -.2077702   .1161968    -1.79   0.074    -.4358107    .0202704
                                2  |  -.0313873   .1445669    -0.22   0.828    -.3151029    .2523284
                                3  |  -.1195176   .1423735    -0.84   0.401    -.3989341    .1598988
                                   |
                 z_polengage_scale |          0  (omitted)
                                   |
          race#c.z_polengage_scale |
                                1  |  -.0173398   .1598328    -0.11   0.914    -.3310108    .2963312
                                2  |   .1135454   .2084352     0.54   0.586    -.2955104    .5226011
                                3  |   .0909348   .1962373     0.46   0.643    -.2941921    .4760618
                                   |
                         education |   .2165907   .1272577     1.70   0.089     -.033153    .4663345
                 z_polengage_scale |          0  (omitted)
                                   |
   c.education#c.z_polengage_scale |   .0534298   .1720974     0.31   0.756    -.2843113    .3911709
                                   |
                            income |   .3639688   .1076757     3.38   0.001       .15265    .5752875
                 z_polengage_scale |          0  (omitted)
                                   |
      c.income#c.z_polengage_scale |  -.0467316   .1342788    -0.35   0.728     -.310263    .2167997
                                   |
                      5.sample_num |  -.0957668    .064585    -1.48   0.138    -.2225136    .0309801
                             _cons |   .4004976   .1418674     2.82   0.005     .1220806    .6789145
----------------------------------------------------------------------------------------------------

. 
. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_000013.tmp"

. alpha pid ideo, gen(leftright)

Test scale = mean(unstandardized items)

Average interitem covariance:       .06932
Number of items in the scale:            2
Scale reliability coefficient:      0.7962

. 
. mi estimate: regress pid c.auth_scale##c.polengage_scale c.age##c.polengage_scale i.male##c.polengage_scale i.race##c.polengage_scale c.education##c.pol
> engage_scale c.income##c.polengage_scale i.sample_num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      8,498
                                                Average RVI       =     0.0034
                                                Largest FMI       =     0.0517
                                                Complete DF       =       8424
DF adjustment:   Small sample                   DF:     min       =   4,245.17
                                                        avg       =   6,466.35
                                                        max       =   8,419.03
Model F test:       Equal FMI                   F(  73, 8421.5)   =      20.86
Within VCE type:          OLS                   Prob > F          =     0.0000

------------------------------------------------------------------------------------------------
                           pid | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------------------------+----------------------------------------------------------------
                    auth_scale |  -.0897892   .0388145    -2.31   0.021    -.1658752   -.0137032
               polengage_scale |  -.3537108   .0771279    -4.59   0.000    -.5049006   -.2025211
                               |
c.auth_scale#c.polengage_scale |    .463864    .049705     9.33   0.000       .36643    .5612979
                               |
                           age |  -.0107155    .056002    -0.19   0.848    -.1204935    .0990626
               polengage_scale |          0  (omitted)
                               |
       c.age#c.polengage_scale |   .1267246    .076316     1.66   0.097    -.0228739    .2763232
                               |
                        1.male |  -.0019628    .024615    -0.08   0.936    -.0502144    .0462889
               polengage_scale |          0  (omitted)
                               |
        male#c.polengage_scale |
                            1  |   .0626906   .0320055     1.96   0.050    -.0000481    .1254294
                               |
                          race |
                            1  |   .0837544   .0453342     1.85   0.065    -.0051118    .1726206
                            2  |  -.2360336   .0529981    -4.45   0.000    -.3399228   -.1321443
                            3  |  -.1060578   .0535728    -1.98   0.048    -.2110737   -.0010419
                               |
               polengage_scale |          0  (omitted)
                               |
        race#c.polengage_scale |
                            1  |  -.0738581   .0615541    -1.20   0.230    -.1945192    .0468031
                            2  |  -.0865427   .0746566    -1.16   0.246    -.2328881    .0598026
                            3  |   .0152681   .0754684     0.20   0.840    -.1326687    .1632048
                               |
                     education |  -.0626397    .046394    -1.35   0.177    -.1535837    .0283044
               polengage_scale |          0  (omitted)
                               |
 c.education#c.polengage_scale |  -.0213024    .060188    -0.35   0.723    -.1392865    .0966817
                               |
                        income |   .0108658   .0463675     0.23   0.815    -.0800323     .101764
               polengage_scale |          0  (omitted)
                               |
    c.income#c.polengage_scale |   .0717825   .0615142     1.17   0.243    -.0488175    .1923825
                               |
                    sample_num |
                            2  |  -.0050516   .0221853    -0.23   0.820    -.0485407    .0384375
                            3  |   .0291801   .0173281     1.68   0.092    -.0047872    .0631475
                            4  |  -.0437849   .0156273    -2.80   0.005    -.0744183   -.0131514
                            5  |   .0220598   .0205932     1.07   0.284     -.018308    .0624275
                            6  |   .0045933   .0150322     0.31   0.760    -.0248737    .0340603
                               |
                       state_1 |   -.230669   .1616921    -1.43   0.154    -.5476406    .0863026
                       state_2 |   .0065708   .1485051     0.04   0.965    -.2845554     .297697
                       state_3 |  -.0168193   .1494389    -0.11   0.910    -.3097755    .2761369
                       state_4 |  -.0145429   .1465442    -0.10   0.921    -.3018262    .2727404
                       state_5 |  -.1257682   .1451645    -0.87   0.386    -.4103472    .1588108
                       state_6 |  -.0441966   .1474948    -0.30   0.764    -.3333421    .2449488
                       state_7 |  -.1271575   .1505461    -0.84   0.398    -.4222843    .1679693
                       state_8 |  -.1390745   .1598005    -0.87   0.384    -.4523389      .17419
                       state_9 |  -.1556977   .1582612    -0.98   0.325     -.465945    .1545495
                      state_10 |  -.0581787   .1452719    -0.40   0.689    -.3429682    .2266108
                      state_11 |  -.0281813   .1460692    -0.19   0.847    -.3145336    .2581709
                      state_12 |  -.0836325   .1563463    -0.53   0.593    -.3901268    .2228617
                      state_13 |  -.0841824   .1490564    -0.56   0.572     -.376389    .2080242
                      state_14 |  -.0173417    .152659    -0.11   0.910    -.3166086    .2819251
                      state_15 |  -.0713394   .1460078    -0.49   0.625    -.3575711    .2148924
                      state_16 |   -.021747   .1472066    -0.15   0.883     -.310328    .2668341
                      state_17 |  -.0242932   .1495294    -0.16   0.871     -.317427    .2688405
                      state_18 |  -.0869049   .1486343    -0.58   0.559    -.3782845    .2044746
                      state_19 |  -.0039732   .1494208    -0.03   0.979     -.296894    .2889476
                      state_20 |  -.1578873   .1473585    -1.07   0.284    -.4467664    .1309917
                      state_21 |  -.1311105   .1473529    -0.89   0.374    -.4199787    .1577577
                      state_22 |  -.0843468   .1541815    -0.55   0.584     -.386598    .2179045
                      state_23 |  -.0910232   .1461622    -0.62   0.533    -.3775576    .1955111
                      state_24 |  -.0269263   .1482098    -0.18   0.856    -.3174736    .2636211
                      state_25 |  -.0384024   .1471182    -0.26   0.794    -.3268107    .2500058
                      state_26 |   -.011146   .1517087    -0.07   0.941    -.3085508    .2862589
                      state_27 |  -.0698182   .1570732    -0.44   0.657     -.377737    .2381007
                      state_28 |  -.0497235   .1463794    -0.34   0.734    -.3366836    .2372367
                      state_29 |  -.1771732   .1717688    -1.03   0.302    -.5138952    .1595488
                      state_30 |   .0322809   .1533888     0.21   0.833    -.2684167    .3329786
                      state_31 |    -.09827   .1548936    -0.63   0.526    -.4019173    .2053773
                      state_32 |  -.0782717   .1465032    -0.53   0.593    -.3654746    .2089313
                      state_33 |   .0858459   .1534672     0.56   0.576    -.2150051    .3866968
                      state_34 |  -.0722576   .1494235    -0.48   0.629    -.3651836    .2206684
                      state_35 |  -.1423965   .1453817    -0.98   0.327    -.4274015    .1426084
                      state_36 |  -.0806327   .1460257    -0.55   0.581    -.3668995    .2056341
                      state_37 |  -.0151729     .15036    -0.10   0.920    -.3099347     .279589
                      state_38 |  -.1091308   .1483587    -0.74   0.462      -.39997    .1817085
                      state_39 |  -.0806922   .1456463    -0.55   0.580    -.3662157    .2048313
                      state_40 |  -.1229746   .1592183    -0.77   0.440    -.4350978    .1891486
                      state_41 |  -.0047064   .1483494    -0.03   0.975    -.2955279    .2861151
                      state_42 |   .0044938   .1604274     0.03   0.978    -.3099992    .3189868
                      state_43 |  -.0009327   .1474286    -0.01   0.995    -.2899495     .288084
                      state_44 |  -.0171917   .1453409    -0.12   0.906    -.3021167    .2677333
                      state_45 |   .0128714   .1503539     0.09   0.932     -.281878    .3076208
                      state_46 |  -.0364566   .1467464    -0.25   0.804    -.3241358    .2512226
                      state_47 |  -.2259235   .1624484    -1.39   0.164    -.5443777    .0925308
                      state_48 |   -.133635   .1467729    -0.91   0.363    -.4213662    .1540962
                      state_49 |  -.0731084   .1472463    -0.50   0.620    -.3617677     .215551
                      state_50 |  -.1065127   .1512541    -0.70   0.481    -.4030268    .1900013
                      state_51 |   .0193391   .1661122     0.12   0.907    -.3062967    .3449749
                         _cons |   .6381649   .1561839     4.09   0.000     .3319883    .9443415
------------------------------------------------------------------------------------------------

. quietly mimrgns, at(auth_scale=(0 1) polengage_scale=(0 .25 .5 .75 1)) coeflegend post

.     lincom _b[6._at]-_b[1._at]

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0897892   .0388145    -2.31   0.021    -.1658752   -.0137032
------------------------------------------------------------------------------

.     lincom _b[7._at]-_b[2._at]

 ( 1)  - 2._at + 7._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0261768   .0273364     0.96   0.338    -.0274092    .0797629
------------------------------------------------------------------------------

.     lincom _b[8._at]-_b[3._at]

 ( 1)  - 3._at + 8._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1421428   .0172283     8.25   0.000     .1083712    .1759144
------------------------------------------------------------------------------

.     lincom _b[9._at]-_b[4._at]

 ( 1)  - 4._at + 9._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .2581088   .0124567    20.72   0.000     .2336905    .2825271
------------------------------------------------------------------------------

.     lincom _b[10._at]-_b[5._at]

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .3740748   .0179541    20.84   0.000     .3388803    .4092693
------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_000014.tmp"

.         
. mi estimate: regress ideo c.auth_scale##c.polengage_scale c.age##c.polengage_scale i.male##c.polengage_scale i.race##c.polengage_scale c.education##c.po
> lengage_scale c.income##c.polengage_scale i.sample_num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      8,527
                                                Average RVI       =     0.0027
                                                Largest FMI       =     0.0484
                                                Complete DF       =       8453
DF adjustment:   Small sample                   DF:     min       =   4,518.13
                                                        avg       =   7,416.51
                                                        max       =   8,447.00
Model F test:       Equal FMI                   F(  73, 8450.7)   =      23.39
Within VCE type:          OLS                   Prob > F          =     0.0000

------------------------------------------------------------------------------------------------
                          ideo | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------------------------+----------------------------------------------------------------
                    auth_scale |   .0280487    .028748     0.98   0.329    -.0283044    .0844019
               polengage_scale |  -.2398098   .0566824    -4.23   0.000    -.3509212   -.1286983
                               |
c.auth_scale#c.polengage_scale |   .3289449   .0368012     8.94   0.000     .2568056    .4010843
                               |
                           age |   .1151375    .041457     2.78   0.005     .0338709     .196404
               polengage_scale |          0  (omitted)
                               |
       c.age#c.polengage_scale |  -.0223222   .0564633    -0.40   0.693    -.1330047    .0883603
                               |
                        1.male |  -.0176556   .0181373    -0.97   0.330    -.0532091     .017898
               polengage_scale |          0  (omitted)
                               |
        male#c.polengage_scale |
                            1  |   .0595717   .0235903     2.53   0.012     .0133288    .1058146
                               |
                          race |
                            1  |   -.011592   .0332114    -0.35   0.727    -.0766946    .0535105
                            2  |   -.097485   .0388698    -2.51   0.012    -.1736795   -.0212906
                            3  |  -.0932601   .0394632    -2.36   0.018    -.1706177   -.0159025
                               |
               polengage_scale |          0  (omitted)
                               |
        race#c.polengage_scale |
                            1  |   .0459919   .0451832     1.02   0.309    -.0425782     .134562
                            2  |  -.0454849   .0548363    -0.83   0.407    -.1529775    .0620077
                            3  |   .0786306   .0556709     1.41   0.158    -.0304981    .1877593
                               |
                     education |    .008491   .0341323     0.25   0.804    -.0584169    .0753989
               polengage_scale |          0  (omitted)
                               |
 c.education#c.polengage_scale |  -.1057883   .0442961    -2.39   0.017    -.1926201   -.0189566
                               |
                        income |  -.0117423   .0340451    -0.34   0.730    -.0784822    .0549976
               polengage_scale |          0  (omitted)
                               |
    c.income#c.polengage_scale |   .0791018   .0451796     1.75   0.080    -.0094722    .1676758
                               |
                    sample_num |
                            2  |  -.0144843   .0161185    -0.90   0.369    -.0460807    .0171121
                            3  |   .0052193   .0128327     0.41   0.684     -.019936    .0303745
                            4  |  -.0159936   .0115673    -1.38   0.167    -.0386684    .0066812
                            5  |    .015518   .0151463     1.02   0.306    -.0141725    .0452085
                            6  |   .0271713   .0111203     2.44   0.015     .0053727      .04897
                               |
                       state_1 |  -.2006559   .1188426    -1.69   0.091    -.4336213    .0323094
                       state_2 |  -.0305752   .1090317    -0.28   0.779    -.2443099    .1831596
                       state_3 |  -.0116956   .1098227    -0.11   0.915    -.2269807    .2035896
                       state_4 |  -.0497474   .1075226    -0.46   0.644    -.2605241    .1610294
                       state_5 |  -.1110219   .1065268    -1.04   0.297    -.3198468    .0978029
                       state_6 |  -.0679137   .1082042    -0.63   0.530    -.2800261    .1441987
                       state_7 |  -.0929527   .1105446    -0.84   0.400    -.3096531    .1237478
                       state_8 |  -.1035887   .1174033    -0.88   0.378    -.3337327    .1265553
                       state_9 |  -.1411599   .1159398    -1.22   0.223    -.3684353    .0861155
                      state_10 |  -.0479877   .1066128    -0.45   0.653    -.2569812    .1610057
                      state_11 |   -.045645   .1072115    -0.43   0.670    -.2558122    .1645221
                      state_12 |  -.0888591   .1148529    -0.77   0.439     -.314004    .1362858
                      state_13 |  -.0671895   .1095677    -0.61   0.540    -.2819749    .1475958
                      state_14 |  -.0305695   .1120073    -0.27   0.785    -.2501368    .1889977
                      state_15 |  -.0867134    .107162    -0.81   0.418    -.2967835    .1233566
                      state_16 |  -.0401041   .1080627    -0.37   0.711    -.2519394    .1717312
                      state_17 |  -.0579914   .1098327    -0.53   0.598    -.2732961    .1573133
                      state_18 |  -.1017149   .1090536    -0.93   0.351    -.3154927    .1120629
                      state_19 |  -.0610607   .1097374    -0.56   0.578    -.2761787    .1540573
                      state_20 |  -.1410063   .1081121    -1.30   0.192    -.3529385    .0709259
                      state_21 |  -.0984538   .1081767    -0.91   0.363    -.3105127    .1136051
                      state_22 |  -.0842815   .1130763    -0.75   0.456     -.305944     .137381
                      state_23 |  -.0875363   .1072897    -0.82   0.415    -.2978565    .1227838
                      state_24 |  -.0145053   .1087876    -0.13   0.894    -.2277616    .1987511
                      state_25 |   -.031634   .1079804    -0.29   0.770    -.2433082    .1800403
                      state_26 |  -.0577487    .111412    -0.52   0.604    -.2761491    .1606518
                      state_27 |  -.0180458   .1154368    -0.16   0.876    -.2443356     .208244
                      state_28 |  -.0756957   .1074339    -0.70   0.481    -.2862987    .1349073
                      state_29 |  -.1883443   .1250582    -1.51   0.132    -.4334931    .0568044
                      state_30 |  -.0065124   .1126617    -0.06   0.954    -.2273624    .2143375
                      state_31 |  -.0847984   .1139726    -0.74   0.457    -.3082178     .138621
                      state_32 |  -.0843538   .1075197    -0.78   0.433    -.2951249    .1264173
                      state_33 |  -.0185001   .1128652    -0.16   0.870    -.2397489    .2027486
                      state_34 |  -.0685878   .1096543    -0.63   0.532    -.2835427    .1463671
                      state_35 |  -.1193221   .1066875    -1.12   0.263     -.328462    .0898178
                      state_36 |  -.0910022   .1071794    -0.85   0.396    -.3011063     .119102
                      state_37 |  -.0435745    .110231    -0.40   0.693    -.2596604    .1725113
                      state_38 |  -.0969046   .1089182    -0.89   0.374    -.3104169    .1166078
                      state_39 |  -.0855298   .1068882    -0.80   0.424    -.2950631    .1240035
                      state_40 |  -.1325369   .1170155    -1.13   0.257    -.3619209    .0968471
                      state_41 |  -.0285711   .1088775    -0.26   0.793    -.2420038    .1848616
                      state_42 |  -.0044223   .1178903    -0.04   0.970     -.235521    .2266764
                      state_43 |  -.0289808   .1082009    -0.27   0.789    -.2410873    .1831256
                      state_44 |  -.0333436   .1066519    -0.31   0.755    -.2424136    .1757264
                      state_45 |  -.0694229   .1104013    -0.63   0.529    -.2858422    .1469963
                      state_46 |  -.0533721   .1077176    -0.50   0.620    -.2645309    .1577868
                      state_47 |  -.2327999   .1193921    -1.95   0.051    -.4668424    .0012425
                      state_48 |  -.0967706   .1077094    -0.90   0.369    -.3079134    .1143723
                      state_49 |   -.085414   .1080516    -0.79   0.429    -.2972278    .1263999
                      state_50 |  -.1252092   .1110864    -1.13   0.260    -.3429716    .0925531
                      state_51 |  -.0169644   .1221145    -0.14   0.890    -.2563434    .2224146
                         _cons |   .5804899   .1146811     5.06   0.000     .3556813    .8052985
------------------------------------------------------------------------------------------------

. quietly mimrgns, at(auth_scale=(0 1) polengage_scale=(0 .25 .5 .75 1)) coeflegend post

.     lincom _b[6._at]-_b[1._at]

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0280487    .028748     0.98   0.329    -.0283044    .0844019
------------------------------------------------------------------------------

.     lincom _b[7._at]-_b[2._at]

 ( 1)  - 2._at + 7._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |    .110285   .0202464     5.45   0.000      .070597    .1499729
------------------------------------------------------------------------------

.     lincom _b[8._at]-_b[3._at]

 ( 1)  - 3._at + 8._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1925212   .0127545    15.09   0.000     .1675193    .2175231
------------------------------------------------------------------------------

.     lincom _b[9._at]-_b[4._at]

 ( 1)  - 4._at + 9._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .2747574   .0092047    29.85   0.000      .256714    .2928009
------------------------------------------------------------------------------

.     lincom _b[10._at]-_b[5._at]

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .3569936    .013269    26.90   0.000     .3309831    .3830042
------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_000015.tmp"

. mi estimate: regress leftright c.auth_scale##c.polengage_scale c.age##c.polengage_scale i.male##c.polengage_scale i.race##c.polengage_scale c.education#
> #c.polengage_scale c.income##c.polengage_scale i.sample_num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      8,601
                                                Average RVI       =     0.0033
                                                Largest FMI       =     0.0509
                                                Complete DF       =       8527
DF adjustment:   Small sample                   DF:     min       =   4,338.98
                                                        avg       =   6,519.88
                                                        max       =   8,521.33
Model F test:       Equal FMI                   F(  73, 8524.5)   =      25.86
Within VCE type:          OLS                   Prob > F          =     0.0000

------------------------------------------------------------------------------------------------
                     leftright | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------------------------+----------------------------------------------------------------
                    auth_scale |  -.0312308   .0304536    -1.03   0.305    -.0909273    .0284657
               polengage_scale |   -.300804   .0602501    -4.99   0.000    -.4189089   -.1826991
                               |
c.auth_scale#c.polengage_scale |   .3982943   .0390144    10.21   0.000     .3218167    .4747719
                               |
                           age |   .0540415   .0438735     1.23   0.218    -.0319616    .1400447
               polengage_scale |          0  (omitted)
                               |
       c.age#c.polengage_scale |   .0513091   .0597984     0.86   0.391    -.0659107    .1685289
                               |
                        1.male |  -.0089013   .0192307    -0.46   0.643    -.0465982    .0287955
               polengage_scale |          0  (omitted)
                               |
        male#c.polengage_scale |
                            1  |   .0599401   .0250304     2.39   0.017     .0108743    .1090058
                               |
                          race |
                            1  |    .032963   .0353105     0.93   0.351    -.0362541    .1021801
                            2  |    -.16961   .0413248    -4.10   0.000    -.2506166   -.0886035
                            3  |  -.1061815   .0418307    -2.54   0.011    -.1881799   -.0241832
                               |
               polengage_scale |          0  (omitted)
                               |
        race#c.polengage_scale |
                            1  |  -.0104585   .0480525    -0.22   0.828     -.104653    .0837361
                            2  |  -.0624737   .0583257    -1.07   0.284    -.1768064    .0518589
                            3  |    .054042   .0590339     0.92   0.360    -.0616789    .1697628
                               |
                     education |  -.0243318   .0362402    -0.67   0.502    -.0953715     .046708
               polengage_scale |          0  (omitted)
                               |
 c.education#c.polengage_scale |  -.0665285   .0470602    -1.41   0.157    -.1587785    .0257216
                               |
                        income |   -.003128   .0361198    -0.09   0.931    -.0739354    .0676794
               polengage_scale |          0  (omitted)
                               |
    c.income#c.polengage_scale |   .0806143   .0479979     1.68   0.093    -.0134862    .1747148
                               |
                    sample_num |
                            2  |  -.0069477   .0168792    -0.41   0.681    -.0400353    .0261399
                            3  |    .017442   .0136101     1.28   0.200    -.0092371    .0441211
                            4  |  -.0294599   .0122603    -2.40   0.016    -.0534931   -.0054268
                            5  |   .0196776   .0158115     1.24   0.213    -.0113167    .0506719
                            6  |   .0162185   .0117928     1.38   0.169    -.0068983    .0393354
                               |
                       state_1 |  -.2141341   .1272123    -1.68   0.092    -.4635134    .0352453
                       state_2 |  -.0092519   .1168019    -0.08   0.937    -.2382277     .219724
                       state_3 |  -.0136858   .1175724    -0.12   0.907    -.2441715    .2167999
                       state_4 |  -.0321308   .1152355    -0.28   0.780    -.2580367     .193775
                       state_5 |  -.1167609   .1141845    -1.02   0.307    -.3406068    .1070851
                       state_6 |  -.0523006   .1159511    -0.45   0.652    -.2796082    .1750069
                       state_7 |  -.1084905   .1184459    -0.92   0.360    -.3406889    .1237079
                       state_8 |  -.1205768    .125708    -0.96   0.338    -.3670078    .1258541
                       state_9 |  -.1405319   .1241522    -1.13   0.258    -.3839135    .1028497
                      state_10 |  -.0516524   .1142759    -0.45   0.651    -.2756774    .1723726
                      state_11 |   -.037139   .1149083    -0.32   0.747    -.2624037    .1881256
                      state_12 |  -.0857521   .1229962    -0.70   0.486    -.3268681    .1553639
                      state_13 |  -.0742933   .1172758    -0.63   0.526     -.304198    .1556114
                      state_14 |  -.0204828   .1199791    -0.17   0.864    -.2556852    .2147196
                      state_15 |  -.0782785    .114857    -0.68   0.496    -.3034426    .1468857
                      state_16 |  -.0324899   .1157973    -0.28   0.779    -.2594967    .1945169
                      state_17 |  -.0425693   .1175919    -0.36   0.717    -.2730933    .1879547
                      state_18 |  -.0930935   .1168372    -0.80   0.426    -.3221387    .1359517
                      state_19 |  -.0288017     .11755    -0.25   0.806    -.2592436    .2016402
                      state_20 |  -.1455134    .115862    -1.26   0.209     -.372647    .0816202
                      state_21 |  -.1137325   .1159057    -0.98   0.327     -.340952     .113487
                      state_22 |  -.0847511   .1211116    -0.70   0.484    -.3221733    .1526711
                      state_23 |  -.0866305   .1149742    -0.75   0.451    -.3120242    .1387631
                      state_24 |  -.0185325   .1165803    -0.16   0.874     -.247074    .2100091
                      state_25 |  -.0380124     .11569    -0.33   0.742    -.2648093    .1887844
                      state_26 |  -.0275084   .1192508    -0.23   0.818    -.2612836    .2062667
                      state_27 |  -.0424253   .1236005    -0.34   0.731    -.2847258    .1998753
                      state_28 |    -.05958   .1151443    -0.52   0.605    -.2853073    .1661473
                      state_29 |  -.1740578   .1338001    -1.30   0.193    -.4363491    .0882335
                      state_30 |   .0143634    .120675     0.12   0.905    -.2222032    .2509301
                      state_31 |  -.0903652   .1218576    -0.74   0.458    -.3292498    .1485194
                      state_32 |  -.0815111   .1152237    -0.71   0.479    -.3073939    .1443716
                      state_33 |   .0348108   .1207144     0.29   0.773    -.2018325    .2714542
                      state_34 |  -.0693854   .1175008    -0.59   0.555    -.2997307      .16096
                      state_35 |   -.130494   .1143524    -1.14   0.254    -.3546692    .0936812
                      state_36 |  -.0839457   .1148666    -0.73   0.465    -.3091285    .1412371
                      state_37 |  -.0242852   .1180467    -0.21   0.837     -.255701    .2071306
                      state_38 |  -.1017567    .116722    -0.87   0.383    -.3305759    .1270624
                      state_39 |  -.0821721   .1145755    -0.72   0.473    -.3067845    .1424404
                      state_40 |  -.1264852   .1252754    -1.01   0.313    -.3720684     .119098
                      state_41 |  -.0130899   .1166215    -0.11   0.911    -.2417125    .2155327
                      state_42 |   .0015657   .1262122     0.01   0.990    -.2458535    .2489849
                      state_43 |  -.0132235   .1159318    -0.11   0.909    -.2404943    .2140473
                      state_44 |  -.0235964    .114322    -0.21   0.836     -.247712    .2005192
                      state_45 |  -.0272178   .1182867    -0.23   0.818    -.2591033    .2046676
                      state_46 |  -.0446251   .1154252    -0.39   0.699    -.2709025    .1816523
                      state_47 |   -.227721   .1278018    -1.78   0.075    -.4782559    .0228139
                      state_48 |  -.1170923   .1154283    -1.01   0.310    -.3433757    .1091912
                      state_49 |  -.0756964   .1158098    -0.65   0.513     -.302728    .1513351
                      state_50 |  -.1146964   .1190128    -0.96   0.335    -.3480055    .1186127
                      state_51 |   .0026099   .1307027     0.02   0.984    -.2536112    .2588311
                         _cons |   .6094557   .1227625     4.96   0.000     .3687972    .8501142
------------------------------------------------------------------------------------------------

. quietly mimrgns, at(auth_scale=(0 1) polengage_scale=(0 .25 .5 .75 1)) coeflegend post

.     lincom _b[6._at]-_b[1._at]

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0312308   .0304536    -1.03   0.305    -.0909273    .0284657
------------------------------------------------------------------------------

.     lincom _b[7._at]-_b[2._at]

 ( 1)  - 2._at + 7._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0683428   .0214444     3.19   0.001     .0263066    .1103789
------------------------------------------------------------------------------

.     lincom _b[8._at]-_b[3._at]

 ( 1)  - 3._at + 8._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1679163   .0135116    12.43   0.000     .1414304    .1944023
------------------------------------------------------------------------------

.     lincom _b[9._at]-_b[4._at]

 ( 1)  - 4._at + 9._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .2674899   .0097739    27.37   0.000     .2483307    .2866491
------------------------------------------------------------------------------

.     lincom _b[10._at]-_b[5._at]

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .3670635   .0140982    26.04   0.000     .3394275    .3946994
------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_000016.tmp"

. mi estimate: regress pid c.latentnsc2##c.polengage_scale c.age##c.polengage_scale i.male##c.polengage_scale i.race##c.polengage_scale c.education##c.pol
> engage_scale c.income##c.polengage_scale i.sample_num 

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        940
                                                Average RVI       =     0.0131
                                                Largest FMI       =     0.0386
                                                Complete DF       =        921
DF adjustment:   Small sample                   DF:     min       =     838.17
                                                        avg       =     893.63
                                                        max       =     917.73
Model F test:       Equal FMI                   F(  18,  918.6)   =       9.53
Within VCE type:          OLS                   Prob > F          =     0.0000

------------------------------------------------------------------------------------------------
                           pid | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------------------------+----------------------------------------------------------------
                    latentnsc2 |  -.3359037   .2557065    -1.31   0.189     -.837741    .1659336
               polengage_scale |  -.5358001   .3106625    -1.72   0.085      -1.1455    .0738994
                               |
c.latentnsc2#c.polengage_scale |   1.153284   .3267252     3.53   0.000     .5120686    1.794499
                               |
                           age |   .0503458   .2190174     0.23   0.818     -.379489    .4801805
               polengage_scale |          0  (omitted)
                               |
       c.age#c.polengage_scale |  -.0647508   .2842623    -0.23   0.820    -.6226324    .4931308
                               |
                        1.male |   .1495526   .0927502     1.61   0.107     -.032475    .3315803
               polengage_scale |          0  (omitted)
                               |
        male#c.polengage_scale |
                            1  |  -.1662827   .1226442    -1.36   0.175    -.4069792    .0744137
                               |
                          race |
                            1  |    .007105   .1791846     0.04   0.968    -.3445636    .3587735
                            2  |  -.2476469   .2303752    -1.07   0.283     -.699803    .2045092
                            3  |  -.2664022   .2095327    -1.27   0.204    -.6776398    .1448354
                               |
               polengage_scale |          0  (omitted)
                               |
        race#c.polengage_scale |
                            1  |   .1125981   .2494768     0.45   0.652    -.3770286    .6022248
                            2  |   .0349707   .3294107     0.11   0.915    -.6115721    .6815136
                            3  |   .2982288   .2951751     1.01   0.313    -.2810964    .8775541
                               |
                     education |   .3110349   .2013189     1.54   0.123    -.0840831    .7061529
               polengage_scale |          0  (omitted)
                               |
 c.education#c.polengage_scale |  -.4840501     .27277    -1.77   0.076      -1.0194    .0512995
                               |
                        income |  -.1090826   .1616165    -0.67   0.500    -.4263032     .208138
               polengage_scale |          0  (omitted)
                               |
    c.income#c.polengage_scale |   .2157542   .2125142     1.02   0.310     -.201368    .6328765
                               |
                  5.sample_num |   .0284955   .0278678     1.02   0.307    -.0261966    .0831877
                         _cons |   .5546568   .2238873     2.48   0.013     .1152631    .9940505
------------------------------------------------------------------------------------------------

. quietly mimrgns, at(latentnsc2=(.1066294 .7065914) polengage_scale=(0 .25 .5 .75 1)) coeflegend post

.     lincom _b[6._at]-_b[1._at]

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.2015295   .1534142    -1.31   0.189    -.5026114    .0995525
------------------------------------------------------------------------------

.     lincom _b[7._at]-_b[2._at]

 ( 1)  - 2._at + 7._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0285478   .1064341    -0.27   0.789    -.2374292    .1803336
------------------------------------------------------------------------------

.     lincom _b[8._at]-_b[3._at]

 ( 1)  - 3._at + 8._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1444338   .0626389     2.31   0.021     .0215024    .2673653
------------------------------------------------------------------------------

.     lincom _b[9._at]-_b[4._at]

 ( 1)  - 4._at + 9._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .3174155   .0363615     8.73   0.000     .2460545    .3887765
------------------------------------------------------------------------------

.     lincom _b[10._at]-_b[5._at]

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .4903972   .0593616     8.26   0.000     .3738974    .6068969
------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_000017.tmp"

. mi estimate: regress ideo c.latentnsc2##c.polengage_scale c.age##c.polengage_scale i.male##c.polengage_scale i.race##c.polengage_scale c.education##c.po
> lengage_scale c.income##c.polengage_scale i.sample_num 

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        980
                                                Average RVI       =     0.0170
                                                Largest FMI       =     0.0330
                                                Complete DF       =        961
DF adjustment:   Small sample                   DF:     min       =     890.49
                                                        avg       =     933.78
                                                        max       =     956.96
Model F test:       Equal FMI                   F(  18,  958.3)   =      15.73
Within VCE type:          OLS                   Prob > F          =     0.0000

------------------------------------------------------------------------------------------------
                          ideo | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------------------------+----------------------------------------------------------------
                    latentnsc2 |  -.3719479   .1862416    -2.00   0.046    -.7374369   -.0064589
               polengage_scale |  -.4914408   .2201674    -2.23   0.026    -.9235197   -.0593619
                               |
c.latentnsc2#c.polengage_scale |   1.202915   .2380838     5.05   0.000     .7356886    1.670142
                               |
                           age |   .2592878    .159051     1.63   0.103    -.0528443    .5714199
               polengage_scale |          0  (omitted)
                               |
       c.age#c.polengage_scale |  -.1440035   .2071818    -0.70   0.487    -.5505926    .2625856
                               |
                        1.male |   .0835514   .0658836     1.27   0.205    -.0457419    .2128446
               polengage_scale |          0  (omitted)
                               |
        male#c.polengage_scale |
                            1  |  -.0773034   .0873851    -0.88   0.377    -.2487931    .0941863
                               |
                          race |
                            1  |   .0360923   .1204516     0.30   0.765    -.2002943     .272479
                            2  |  -.0017728    .156576    -0.01   0.991    -.3090577    .3055122
                            3  |  -.1170993   .1450782    -0.81   0.420    -.4018195    .1676209
                               |
               polengage_scale |          0  (omitted)
                               |
        race#c.polengage_scale |
                            1  |   .0619513   .1713191     0.36   0.718    -.2742663    .3981689
                            2  |  -.0575639   .2267915    -0.25   0.800    -.5026547    .3875269
                            3  |   .1799472   .2075111     0.87   0.386    -.2272979    .5871924
                               |
                     education |    .408728   .1414078     2.89   0.004     .1312139    .6862421
               polengage_scale |          0  (omitted)
                               |
 c.education#c.polengage_scale |  -.5667216   .1917724    -2.96   0.003    -.9430929   -.1903504
                               |
                        income |  -.0477106   .1150748    -0.41   0.679    -.2735564    .1781353
               polengage_scale |          0  (omitted)
                               |
    c.income#c.polengage_scale |   .1821715   .1509794     1.21   0.228    -.1141454    .4784884
                               |
                  5.sample_num |   .0340874   .0205942     1.66   0.098    -.0063278    .0745025
                         _cons |   .4412187   .1563439     2.82   0.005     .1343982    .7480392
------------------------------------------------------------------------------------------------

. quietly mimrgns, at(latentnsc2=(.1066294 .7065914) polengage_scale=(0 .25 .5 .75 1)) coeflegend post

.     lincom _b[6._at]-_b[1._at]

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.2231546   .1117379    -2.00   0.046     -.442433   -.0038763
------------------------------------------------------------------------------

.     lincom _b[7._at]-_b[2._at]

 ( 1)  - 2._at + 7._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0427287   .0775485    -0.55   0.582    -.1949128    .1094553
------------------------------------------------------------------------------

.     lincom _b[8._at]-_b[3._at]

 ( 1)  - 3._at + 8._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1376971   .0457455     3.01   0.003     .0479245    .2274698
------------------------------------------------------------------------------

.     lincom _b[9._at]-_b[4._at]

 ( 1)  - 4._at + 9._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |    .318123   .0268698    11.84   0.000     .2653928    .3708533
------------------------------------------------------------------------------

.     lincom _b[10._at]-_b[5._at]

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .4985489   .0436093    11.43   0.000     .4129685    .5841294
------------------------------------------------------------------------------

. mi estimate: regress leftright c.latentnsc2##c.polengage_scale c.age##c.polengage_scale i.male##c.polengage_scale i.race##c.polengage_scale c.education#
> #c.polengage_scale c.income##c.polengage_scale i.sample_num

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      1,040
                                                Average RVI       =     0.0138
                                                Largest FMI       =     0.0326
                                                Complete DF       =       1021
DF adjustment:   Small sample                   DF:     min       =     945.19
                                                        avg       =     993.73
                                                        max       =   1,017.43
Model F test:       Equal FMI                   F(  18, 1018.4)   =      14.61
Within VCE type:          OLS                   Prob > F          =     0.0000

------------------------------------------------------------------------------------------------
                     leftright | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------------------------+----------------------------------------------------------------
                    latentnsc2 |  -.3388198   .1946925    -1.74   0.082    -.7208646    .0432251
               polengage_scale |  -.5328693   .2353844    -2.26   0.024    -.9947723   -.0709662
                               |
c.latentnsc2#c.polengage_scale |   1.178909   .2501769     4.71   0.000     .6879868     1.66983
                               |
                           age |   .2060039    .167799     1.23   0.220    -.1232693    .5352771
               polengage_scale |          0  (omitted)
                               |
       c.age#c.polengage_scale |  -.1622797   .2188762    -0.74   0.459    -.5917825    .2672231
                               |
                        1.male |   .1155501   .0696435     1.66   0.097    -.0211115    .2522117
               polengage_scale |          0  (omitted)
                               |
        male#c.polengage_scale |
                            1  |  -.1170729   .0925933    -1.26   0.206    -.2987692    .0646234
                               |
                          race |
                            1  |  -.0122871   .1294081    -0.09   0.924      -.26623    .2416557
                            2  |  -.1520452   .1660096    -0.92   0.360    -.4778228    .1737324
                            3  |  -.2252756   .1551546    -1.45   0.147    -.5297499    .0791986
                               |
               polengage_scale |          0  (omitted)
                               |
        race#c.polengage_scale |
                            1  |   .1232412   .1840963     0.67   0.503    -.2380213    .4845037
                            2  |   .0238927   .2413116     0.10   0.921    -.4496648    .4974502
                            3  |   .2699128   .2222316     1.21   0.225    -.1661912    .7060168
                               |
                     education |   .3479208   .1499037     2.32   0.020      .053757    .6420846
               polengage_scale |          0  (omitted)
                               |
 c.education#c.polengage_scale |  -.5070766   .2037819    -2.49   0.013    -.9069748   -.1071784
                               |
                        income |  -.0917507   .1220045    -0.75   0.452    -.3311788    .1476773
               polengage_scale |          0  (omitted)
                               |
    c.income#c.polengage_scale |   .2210955   .1606731     1.38   0.169    -.0942217    .5364127
                               |
                  5.sample_num |   .0303939   .0215617     1.41   0.159    -.0119167    .0727045
                         _cons |   .5073983   .1671382     3.04   0.002     .1794204    .8353762
------------------------------------------------------------------------------------------------

. quietly mimrgns, at(latentnsc2=(.1066294 .7065914) polengage_scale=(0 .25 .5 .75 1)) coeflegend post

.     lincom _b[6._at]-_b[1._at]

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   -.203279   .1168081    -1.74   0.082    -.4324904    .0259325
------------------------------------------------------------------------------

.     lincom _b[7._at]-_b[2._at]

 ( 1)  - 2._at + 7._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0264539   .0809181    -0.33   0.744    -.1852386    .1323309
------------------------------------------------------------------------------

.     lincom _b[8._at]-_b[3._at]

 ( 1)  - 3._at + 8._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1503712   .0476178     3.16   0.002     .0569312    .2438112
------------------------------------------------------------------------------

.     lincom _b[9._at]-_b[4._at]

 ( 1)  - 4._at + 9._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .3271963   .0283426    11.54   0.000     .2715799    .3828127
------------------------------------------------------------------------------

.     lincom _b[10._at]-_b[5._at]

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .5040214   .0464249    10.86   0.000     .4129222    .5951206
------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_000018.tmp"

. * Multiple Imputation with PID/IDEO to make 1-1 comparisons without listwise deletion. 
. import excel "pooled_data.xlsx", sheet("Sheet1") firstrow clear
(190 vars, 10,223 obs)

. mi set mlong

. mi register imputed age education income male race sample_num pid ideo
(1556 m=0 obs now marked as incomplete)

. mi impute chained (logit) male (mlogit) race sample_num (regress) age education income pid ideo, add(25) 
note: variable sample_num contains no soft missing (.) values; imputing nothing

Conditional models:
         education: regress education i.sample_num i.race i.male age ideo pid income
              race: mlogit race i.sample_num education i.male age ideo pid income
              male: logit male i.sample_num education i.race age ideo pid income
               age: regress age i.sample_num education i.race i.male ideo pid income
              ideo: regress ideo i.sample_num education i.race i.male age pid income
               pid: regress pid i.sample_num education i.race i.male age ideo income
            income: regress income i.sample_num education i.race i.male age ideo pid

Performing chained iterations ...

Multivariate imputation                     Imputations =       25
Chained equations                                 added =       25
Imputed: m=1 through m=25                       updated =        0

Initialization: monotone                     Iterations =      250
                                                burn-in =       10

              male: logistic regression
              race: multinomial logistic regression
        sample_num: multinomial logistic regression
               age: linear regression
         education: linear regression
            income: linear regression
               pid: linear regression
              ideo: linear regression

------------------------------------------------------------------
                   |               Observations per m             
                   |----------------------------------------------
          Variable |   Complete   Incomplete   Imputed |     Total
-------------------+-----------------------------------+----------
              male |       9681          542       542 |     10223
              race |       9898          325       325 |     10223
        sample_num |      10223            0         0 |     10223
               age |       9666          557       557 |     10223
         education |       9926          297       297 |     10223
            income |       9075         1148      1148 |     10223
               pid |       9462          761       761 |     10223
              ideo |       9520          703       703 |     10223
------------------------------------------------------------------
(Complete + Incomplete = Total; Imputed is the minimum across m
 of the number of filled-in observations.)

. 
. *Concern, Authoritarianism 
. quietly mi estimate: regress dv_concern c.auth_scale##c.polengage_scale c.age##c.polengage_scale i.male##c.polengage_scale i.race##c.polengage_scale c.e
> ducation##c.polengage_scale c.income##c.polengage_scale i.sample_num state_1-state_51 pid ideo

. quietly mimrgns, at(auth_scale=(0 1) polengage_scale=(0 .25 .5 .75 1)) coeflegend post

.     lincom _b[6._at]-_b[1._at]

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |    .152566   .0451916     3.38   0.001     .0639723    .2411598
------------------------------------------------------------------------------

.     lincom _b[10._at]-_b[5._at]

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0924512   .0183537    -5.04   0.000    -.1284318   -.0564707
------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_000019.tmp"

. *Restrictions, Authoritarianism 
. quietly mi estimate: regress dv_restrictions c.auth_scale##c.polengage_scale c.age##c.polengage_scale i.male##c.polengage_scale i.race##c.polengage_scal
> e c.education##c.polengage_scale c.income##c.polengage_scale i.sample_num state_1-state_51 pid ideo

. quietly mimrgns, at(auth_scale=(0 1) polengage_scale=(0 .25 .5 .75 1)) coeflegend post

.     lincom _b[6._at]-_b[1._at]

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1806922   .0292943     6.17   0.000     .1232662    .2381183
------------------------------------------------------------------------------

.     lincom _b[10._at]-_b[5._at]

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0890221   .0139113    -6.40   0.000    -.1162926   -.0617517
------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001a.tmp"

. *Behavior, Authoritarianism 
. quietly mi estimate: regress dv_behavior c.auth_scale##c.polengage_scale c.age##c.polengage_scale i.male##c.polengage_scale i.race##c.polengage_scale c.
> education##c.polengage_scale c.income##c.polengage_scale i.sample_num state_1-state_51 pid ideo

. quietly mimrgns, at(auth_scale=(0 1) polengage_scale=(0 .25 .5 .75 1)) coeflegend post

.     lincom _b[6._at]-_b[1._at]

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0260351   .0351549     0.74   0.459    -.0428884    .0949585
------------------------------------------------------------------------------

.     lincom _b[10._at]-_b[5._at]

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0157371   .0213824     0.74   0.462    -.0261846    .0576587
------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001b.tmp"

. *Concern, Latent NSC 
. quietly mi estimate: regress dv_concern c.latentnsc2##c.polengage_scale c.age##c.polengage_scale i.male##c.polengage_scale i.race##c.polengage_scale c.e
> ducation##c.polengage_scale c.income##c.polengage_scale i.sample_num pid ideo

. quietly mimrgns, at(latentnsc2=(.1066294 .7065914) polengage_scale=(0 .25 .5 .75 1)) coeflegend post

.     lincom _b[6._at]-_b[1._at]

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1322211     .13691     0.97   0.334     -.136462    .4009042
------------------------------------------------------------------------------

.     lincom _b[10._at]-_b[5._at]

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |    .040752   .0567831     0.72   0.473    -.0706838    .1521878
------------------------------------------------------------------------------

.         
. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001c.tmp"

. 
. *Concern, Authoritarianism 
. mi estimate: regress z_dv_concern c.z_auth_scale##c.z_polengage_scale c.age##c.z_polengage_scale i.male##c.z_polengage_scale i.race##c.z_polengage_scale
>  c.education##c.z_polengage_scale c.income##c.z_polengage_scale i.sample_num state_1-state_51
variable z_dv_concern not found
an error occurred when mi estimate executed regress on m=1
r(111);

end of do-file

r(111);

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001d.tmp"

. 
. import excel "pooled_data.xlsx", sheet("Sheet1") firstrow clear
(190 vars, 10,223 obs)

. 
. * Set Up Multiple Imputation
. mi set mlong

. mi register imputed age education income male race sample_num
(1198 m=0 obs now marked as incomplete)

. mi impute chained (logit) male (mlogit) race sample_num (regress) age education income, add(25) 
note: variable sample_num contains no soft missing (.) values; imputing nothing

Conditional models:
         education: regress education i.sample_num i.race i.male age income
              race: mlogit race i.sample_num education i.male age income
              male: logit male i.sample_num education i.race age income
               age: regress age i.sample_num education i.race i.male income
            income: regress income i.sample_num education i.race i.male age

Performing chained iterations ...

Multivariate imputation                     Imputations =       25
Chained equations                                 added =       25
Imputed: m=1 through m=25                       updated =        0

Initialization: monotone                     Iterations =      250
                                                burn-in =       10

              male: logistic regression
              race: multinomial logistic regression
        sample_num: multinomial logistic regression
               age: linear regression
         education: linear regression
            income: linear regression

------------------------------------------------------------------
                   |               Observations per m             
                   |----------------------------------------------
          Variable |   Complete   Incomplete   Imputed |     Total
-------------------+-----------------------------------+----------
              male |       9681          542       542 |     10223
              race |       9898          325       325 |     10223
        sample_num |      10223            0         0 |     10223
               age |       9666          557       557 |     10223
         education |       9926          297       297 |     10223
            income |       9075         1148      1148 |     10223
------------------------------------------------------------------
(Complete + Incomplete = Total; Imputed is the minimum across m
 of the number of filled-in observations.)

. 
. *Concern, Authoritarianism 
. mi estimate: regress z_dv_concern c.z_auth_scale##c.z_polengage_scale c.age##c.z_polengage_scale i.male##c.z_polengage_scale i.race##c.z_polengage_scale c.education##c.z_polengage_scale c.income##c.z_polenga
> ge_scale i.sample_num state_1-state_51
variable z_dv_concern not found
an error occurred when mi estimate executed regress on m=1
r(111);

end of do-file

r(111);

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001e.tmp"

. local vars dv_concern dv_behavior dv_restrictions auth_scale latentnsc1 latentnsc2 polengage_scale polint_scale polknow_scale

. foreach var of local vars {
  2.     egen mean_`var' = mean(`var')
  3.     egen sd_`var' = sd(`var')
  4.     generate z_`var' = (`var' - mean_`var') / sd_`var'
  5. }
(18,115 missing values generated)
(31,494 missing values generated)
(18,327 missing values generated)
(10,235 missing values generated)
(38,052 missing values generated)
(38,052 missing values generated)
(7,257 missing values generated)
(10,254 missing values generated)
(14,860 missing values generated)

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001f.tmp"

. **** SM7 - Results by Interest vs. Knowledge ****
. 
. *Concern, Authoritarianism 
. mi estimate: regress z_dv_concern c.z_auth_scale##c.z_polengage_scale c.age##c.z_polengage_scale i.male##c.z_polengage_scale i.race##c.z_polengage_scale c.education##c.z_polengage_scale c.income##c.z_polenga
> ge_scale i.sample_num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      5,484
                                                Average RVI       =     0.0028
                                                Largest FMI       =     0.0568
                                                Complete DF       =       5412
DF adjustment:   Small sample                   DF:     min       =   3,038.39
                                                        avg       =   5,286.57
                                                        max       =   5,406.32
Model F test:       Equal FMI                   F(  71, 5409.9)   =       8.33
Within VCE type:          OLS                   Prob > F          =     0.0000

----------------------------------------------------------------------------------------------------
                      z_dv_concern | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------------------------+----------------------------------------------------------------
                      z_auth_scale |  -.1227886   .0148542    -8.27   0.000    -.1519088   -.0936684
                 z_polengage_scale |    .062504   .0812908     0.77   0.442    -.0968593    .2218672
                                   |
c.z_auth_scale#c.z_polengage_scale |   -.120259   .0166808    -7.21   0.000    -.1529601   -.0875579
                                   |
                               age |    .057498   .0731458     0.79   0.432    -.0858972    .2008932
                 z_polengage_scale |          0  (omitted)
                                   |
         c.age#c.z_polengage_scale |  -.2524381   .0848259    -2.98   0.003    -.4187311   -.0861452
                                   |
                            1.male |  -.1583851   .0303184    -5.22   0.000    -.2178214   -.0989488
                 z_polengage_scale |          0  (omitted)
                                   |
          male#c.z_polengage_scale |
                                1  |  -.0702275    .034886    -2.01   0.044    -.1386182   -.0018368
                                   |
                              race |
                                1  |  -.1975457   .0599837    -3.29   0.001    -.3151384    -.079953
                                2  |   .1997713   .0729627     2.74   0.006     .0567348    .3428078
                                3  |   .0037655   .0766512     0.05   0.961    -.1465022    .1540332
                                   |
                 z_polengage_scale |          0  (omitted)
                                   |
          race#c.z_polengage_scale |
                                1  |   .1061754   .0664106     1.60   0.110    -.0240163    .2363672
                                2  |   .0814964   .0789215     1.03   0.302    -.0732218    .2362145
                                3  |   .0307533   .0848358     0.36   0.717    -.1355597    .1970663
                                   |
                         education |   .0659843   .0560482     1.18   0.239    -.0438931    .1758617
                 z_polengage_scale |          0  (omitted)
                                   |
   c.education#c.z_polengage_scale |   .1164619   .0625388     1.86   0.063    -.0061398    .2390637
                                   |
                            income |  -.2171296   .0665018    -3.27   0.001    -.3475227   -.0867366
                 z_polengage_scale |          0  (omitted)
                                   |
      c.income#c.z_polengage_scale |  -.0039427   .0671468    -0.06   0.953    -.1355992    .1277139
                                   |
                        sample_num |
                                2  |  -.4803737   .0649448    -7.40   0.000     -.607693   -.3530544
                                5  |  -.5663667   .0588347    -9.63   0.000    -.6817066   -.4510267
                                6  |  -.2363533   .0454281    -5.20   0.000    -.3254115   -.1472951
                                   |
                           state_1 |   .0214926   .4980179     0.04   0.966    -.9548248      .99781
                           state_2 |  -.1008273   .4548349    -0.22   0.825    -.9924893    .7908347
                           state_3 |     .23208   .4567619     0.51   0.611    -.6633595     1.12752
                           state_4 |  -.2554665   .4429751    -0.58   0.564    -1.123879    .6129455
                           state_5 |   .0619113   .4371118     0.14   0.887    -.7950061    .9188288
                           state_6 |   .0320485   .4474742     0.07   0.943    -.8451833    .9092803
                           state_7 |   .0937231   .4611073     0.20   0.839    -.8102349     .997681
                           state_8 |   .5385051   .5312453     1.01   0.311    -.5029512    1.579961
                           state_9 |   .2639802   .4828714     0.55   0.585    -.6826441    1.210604
                          state_10 |   .0283873   .4374603     0.06   0.948    -.8292134     .885988
                          state_11 |   .0037022   .4406964     0.01   0.993    -.8602425    .8676469
                          state_12 |   .2347746   .4916206     0.48   0.633    -.7290014    1.198551
                          state_13 |   .1618475   .4490464     0.36   0.719    -.7184664    1.042161
                          state_14 |  -.0298906   .4601996    -0.06   0.948    -.9320692    .8722881
                          state_15 |   .1126741   .4400909     0.26   0.798    -.7500838    .9754319
                          state_16 |  -.0203542   .4453818    -0.05   0.964    -.8934842    .8527758
                          state_17 |   .0979513   .4536395     0.22   0.829    -.7913671    .9872697
                          state_18 |     .19886   .4523335     0.44   0.660     -.687898    1.085618
                          state_19 |  -.1104482   .4601618    -0.24   0.810    -1.012553    .7916563
                          state_20 |   .0550212    .445967     0.12   0.902    -.8192561    .9292985
                          state_21 |   .3044132    .445288     0.68   0.494    -.5685328    1.177359
                          state_22 |   .2565357   .4702827     0.55   0.585    -.6654099    1.178481
                          state_23 |  -.0943805   .4405638    -0.21   0.830    -.9580653    .7693042
                          state_24 |  -.0693624    .448774    -0.15   0.877    -.9491425    .8104177
                          state_25 |  -.0717967   .4450441    -0.16   0.872    -.9442645    .8006711
                          state_26 |   .1746008   .4610763     0.38   0.705    -.7292967    1.078498
                          state_27 |  -.1481265   .4878657    -0.30   0.761    -1.104542    .8082888
                          state_28 |   .0009495   .4418973     0.00   0.998    -.8653496    .8672486
                          state_29 |  -.5518042    .611749    -0.90   0.367     -1.75108    .6474714
                          state_30 |   .0004857   .4740404     0.00   0.999    -.9288263    .9297976
                          state_31 |   .0433529   .4741751     0.09   0.927    -.8862232    .9729289
                          state_32 |   .0873826   .4424114     0.20   0.843     -.779924    .9546893
                          state_33 |  -.1714863   .4668443    -0.37   0.713    -1.086691    .7437186
                          state_34 |    .006206   .4560716     0.01   0.989    -.8878801    .9002921
                          state_35 |   .1836656   .4384121     0.42   0.675    -.6758008    1.043132
                          state_36 |   .1441602   .4406164     0.33   0.744    -.7196277    1.007948
                          state_37 |   .3059329   .4621791     0.66   0.508    -.6001262    1.211992
                          state_38 |  -.1502579   .4502805    -0.33   0.739    -1.032991    .7324752
                          state_39 |   .0910441   .4388573     0.21   0.836    -.7692954    .9513836
                          state_40 |   .3251649   .4973458     0.65   0.513    -.6498354    1.300165
                          state_41 |   .0299981   .4510692     0.07   0.947    -.8542814    .9142776
                          state_42 |   .1893807   .4834343     0.39   0.695    -.7583473    1.137109
                          state_43 |   .0098675   .4461536     0.02   0.982    -.8647757    .8845107
                          state_44 |  -.0248885   .4378196    -0.06   0.955    -.8831935    .8334165
                          state_45 |   -.074913   .4563251    -0.16   0.870     -.969496    .8196701
                          state_46 |   .0258667   .4434591     0.06   0.953    -.8434941    .8952274
                          state_47 |   .3406165   .5106638     0.67   0.505    -.6604917    1.341725
                          state_48 |  -.1455053   .4427358    -0.33   0.742    -1.013448    .7224374
                          state_49 |   .0397297   .4439686     0.09   0.929    -.8306297    .9100891
                          state_50 |   .1780872   .4613874     0.39   0.700      -.72642    1.082594
                          state_51 |  -.0846228   .5310878    -0.16   0.873     -1.12577    .9565247
                             _cons |   .4512124   .4439152     1.02   0.309    -.4190433    1.321468
----------------------------------------------------------------------------------------------------

. mi estimate: regress z_dv_concern c.z_auth_scale##c.z_polint_scale c.age##c.z_polint_scale i.male##c.z_polint_scale i.race##c.z_polint_scale c.education##c.z_polint_scale c.income##c.z_polint_scale i.sample_
> num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      4,639
                                                Average RVI       =     0.0035
                                                Largest FMI       =     0.0890
                                                Complete DF       =       4568
DF adjustment:   Small sample                   DF:     min       =   1,766.82
                                                        avg       =   4,345.45
                                                        max       =   4,562.23
Model F test:       Equal FMI                   F(  70, 4565.8)   =       7.32
Within VCE type:          OLS                   Prob > F          =     0.0000

-------------------------------------------------------------------------------------------------
                   z_dv_concern | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------------------------+----------------------------------------------------------------
                   z_auth_scale |  -.1215753   .0167482    -7.26   0.000    -.1544099   -.0887407
                 z_polint_scale |   .1518244   .0944891     1.61   0.108    -.0334209    .3370698
                                |
c.z_auth_scale#c.z_polint_scale |   -.130631   .0195922    -6.67   0.000    -.1690413   -.0922208
                                |
                            age |  -.1497836    .088306    -1.70   0.090    -.3229061     .023339
                 z_polint_scale |          0  (omitted)
                                |
         c.age#c.z_polint_scale |  -.2658424   .1061931    -2.50   0.012    -.4740323   -.0576526
                                |
                         1.male |  -.1864071   .0335393    -5.56   0.000    -.2521603   -.1206539
                 z_polint_scale |          0  (omitted)
                                |
          male#c.z_polint_scale |
                             1  |  -.0616156   .0402462    -1.53   0.126    -.1405177    .0172865
                                |
                           race |
                             1  |   -.182103   .0651994    -2.79   0.005    -.3099258   -.0542801
                             2  |   .1690401   .0806838     2.10   0.036     .0108605    .3272198
                             3  |   .0069474   .0858208     0.08   0.935    -.1613038    .1751987
                                |
                 z_polint_scale |          0  (omitted)
                                |
          race#c.z_polint_scale |
                             1  |   .0578997   .0745686     0.78   0.438    -.0882914    .2040909
                             2  |    .168225   .0924977     1.82   0.069    -.0131161     .349566
                             3  |   .0601305   .0985926     0.61   0.542    -.1331635    .2534246
                                |
                      education |   .0974446   .0649154     1.50   0.133    -.0298222    .2247114
                 z_polint_scale |          0  (omitted)
                                |
   c.education#c.z_polint_scale |   .0535211   .0767106     0.70   0.485    -.0968699    .2039121
                                |
                         income |  -.2352868    .074263    -3.17   0.002    -.3809393   -.0896342
                 z_polint_scale |          0  (omitted)
                                |
      c.income#c.z_polint_scale |   .0357375   .0842271     0.42   0.671    -.1294124    .2008875
                                |
                     sample_num |
                             5  |  -.0915743   .0700153    -1.31   0.191    -.2288388    .0456902
                             6  |   .2155387   .0542155     3.98   0.000     .1092499    .3218276
                                |
                        state_1 |  -.1234917   .6179304    -0.20   0.842    -1.334946    1.087963
                        state_2 |  -.2133652   .5843589    -0.37   0.715    -1.359006    .9322751
                        state_3 |   .0973445   .5847397     0.17   0.868    -1.049042    1.243731
                        state_4 |  -.4508786   .5740442    -0.79   0.432    -1.576298    .6745404
                        state_5 |  -.0858321   .5695147    -0.15   0.880    -1.202371    1.030707
                        state_6 |  -.1565376   .5776817    -0.27   0.786    -1.289087     .976012
                        state_7 |  -.1016972    .589483    -0.17   0.863    -1.257382    1.053987
                        state_8 |   .4370836   .6458838     0.68   0.499    -.8291717    1.703339
                        state_9 |   .1265557   .6058786     0.21   0.835    -1.061272    1.314383
                       state_10 |  -.1066478   .5695673    -0.19   0.851    -1.223289    1.009994
                       state_11 |  -.1266411   .5722094    -0.22   0.825    -1.248463    .9951804
                       state_12 |   .0903028   .6153521     0.15   0.883    -1.116097    1.296702
                       state_13 |   .0365557   .5787459     0.06   0.950     -1.09808    1.171191
                       state_14 |  -.2732361    .588075    -0.46   0.642    -1.426161    .8796889
                       state_15 |   .0113695   .5717691     0.02   0.984    -1.109589    1.132328
                       state_16 |  -.1335023   .5760649    -0.23   0.817    -1.262882    .9958773
                       state_17 |   .0121157    .582899     0.02   0.983    -1.130663    1.154894
                       state_18 |    .045424   .5816196     0.08   0.938    -1.094846    1.185694
                       state_19 |  -.2413047   .5880957    -0.41   0.682     -1.39427    .9116607
                       state_20 |  -.0954753   .5767254    -0.17   0.869     -1.22615    1.035199
                       state_21 |   .1794731   .5758864     0.31   0.755    -.9495568    1.308503
                       state_22 |   .1110156   .5955799     0.19   0.852    -1.056622    1.278653
                       state_23 |  -.2119569   .5723303    -0.37   0.711    -1.334015    .9101013
                       state_24 |  -.1932883   .5788645    -0.33   0.738    -1.328157    .9415803
                       state_25 |  -.1982804   .5757931    -0.34   0.731    -1.327127    .9305664
                       state_26 |  -.0024826   .5897938    -0.00   0.997    -1.158778    1.153812
                       state_27 |  -.3671659   .6098555    -0.60   0.547     -1.56279    .8284585
                       state_28 |  -.1181241   .5731595    -0.21   0.837    -1.241808     1.00556
                       state_29 |  -.6772466   .7153334    -0.95   0.344    -2.079655    .7251615
                       state_30 |   -.121527    .598762    -0.20   0.839    -1.295403    1.052349
                       state_31 |  -.1089036   .5988605    -0.18   0.856    -1.282972    1.065165
                       state_32 |  -.0707884   .5735682    -0.12   0.902    -1.195273    1.053696
                       state_33 |  -.4081462   .5934099    -0.69   0.492     -1.57153    .7552377
                       state_34 |  -.1713402   .5842494    -0.29   0.769    -1.316765    .9740849
                       state_35 |   .0196626   .5704032     0.03   0.973    -1.098618    1.137943
                       state_36 |   .0403003   .5721599     0.07   0.944    -1.081424    1.162025
                       state_37 |   .1700704   .5890823     0.29   0.773    -.9848289     1.32497
                       state_38 |  -.3060326   .5795822    -0.53   0.598    -1.442307    .8302423
                       state_39 |  -.0623015    .570684    -0.11   0.913    -1.181133     1.05653
                       state_40 |   .1413494   .6175673     0.23   0.819    -1.069394    1.352093
                       state_41 |  -.1141432   .5805438    -0.20   0.844    -1.252304    1.024017
                       state_42 |   .0505255   .6062783     0.08   0.934    -1.138086    1.239137
                       state_43 |  -.1257377   .5767624    -0.22   0.827    -1.256486     1.00501
                       state_44 |  -.1698132   .5700396    -0.30   0.766    -1.287381    .9477545
                       state_45 |  -.2589722   .5848784    -0.44   0.658     -1.40563    .8876852
                       state_46 |  -.1037189   .5745491    -0.18   0.857    -1.230127    1.022689
                       state_47 |   .1776516   .6286397     0.28   0.777    -1.054796      1.4101
                       state_48 |   -.265635   .5737104    -0.46   0.643    -1.390399     .859129
                       state_49 |  -.0790087   .5747783    -0.14   0.891    -1.205866    1.047849
                       state_50 |   .0901726   .5888769     0.15   0.878    -1.064324    1.244669
                       state_51 |  -.2580802   .6458751    -0.40   0.689    -1.524319    1.008158
                          _cons |   .2197223   .5743453     0.38   0.702    -.9062875    1.345732
-------------------------------------------------------------------------------------------------

. mi estimate: regress z_dv_concern c.z_auth_scale##c.z_polknow_scale c.age##c.z_polknow_scale i.male##c.z_polknow_scale i.race##c.z_polknow_scale c.education##c.z_polknow_scale c.income##c.z_polknow_scale i.s
> ample_num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      5,154
                                                Average RVI       =     0.0028
                                                Largest FMI       =     0.0754
                                                Complete DF       =       5082
DF adjustment:   Small sample                   DF:     min       =   2,238.88
                                                        avg       =   4,972.61
                                                        max       =   5,077.78
Model F test:       Equal FMI                   F(  71, 5079.9)   =       7.52
Within VCE type:          OLS                   Prob > F          =     0.0000

--------------------------------------------------------------------------------------------------
                    z_dv_concern | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------------------------+----------------------------------------------------------------
                    z_auth_scale |   -.153282   .0143668   -10.67   0.000    -.1814472   -.1251168
                 z_polknow_scale |  -.0517543   .0736433    -0.70   0.482    -.1961274    .0926189
                                 |
c.z_auth_scale#c.z_polknow_scale |  -.0841377   .0147547    -5.70   0.000    -.1130634    -.055212
                                 |
                             age |   .0321746   .0742993     0.43   0.665     -.113484    .1778332
                 z_polknow_scale |          0  (omitted)
                                 |
         c.age#c.z_polknow_scale |  -.1435913   .0767005    -1.87   0.061    -.2939574    .0067747
                                 |
                          1.male |  -.1447497   .0296276    -4.89   0.000    -.2028327   -.0866667
                 z_polknow_scale |          0  (omitted)
                                 |
          male#c.z_polknow_scale |
                              1  |  -.0571903   .0313603    -1.82   0.068      -.11867    .0042895
                                 |
                            race |
                              1  |  -.1532722   .0602127    -2.55   0.011    -.2713154    -.035229
                              2  |   .2254359   .0760742     2.96   0.003     .0762974    .3745744
                              3  |   .0323228   .0781459     0.41   0.679    -.1208772    .1855228
                                 |
                 z_polknow_scale |          0  (omitted)
                                 |
          race#c.z_polknow_scale |
                              1  |   .0933812   .0587755     1.59   0.112    -.0218442    .2086067
                              2  |   .0458266   .0714912     0.64   0.522    -.0943272    .1859804
                              3  |   .0365791   .0770437     0.47   0.635    -.1144598    .1876181
                                 |
                       education |    .106439   .0549553     1.94   0.053    -.0012976    .2141755
                 z_polknow_scale |          0  (omitted)
                                 |
   c.education#c.z_polknow_scale |   .1157912   .0561429     2.06   0.039      .005726    .2258564
                                 |
                          income |  -.2042292   .0668564    -3.05   0.002    -.3353217   -.0731366
                 z_polknow_scale |          0  (omitted)
                                 |
      c.income#c.z_polknow_scale |   .0232033     .06168     0.38   0.707    -.0977527    .1441594
                                 |
                      sample_num |
                              2  |  -.5118495   .0667405    -7.67   0.000    -.6426909   -.3810081
                              5  |  -.5877224   .0605011    -9.71   0.000    -.7063308    -.469114
                              6  |    -.19957   .0451572    -4.42   0.000    -.2880983   -.1110416
                                 |
                         state_1 |   .0083652   .5133122     0.02   0.987     -.997949    1.014679
                         state_2 |  -.1718961   .4577226    -0.38   0.707    -1.069231     .725439
                         state_3 |   .2202261   .4604398     0.48   0.632    -.6824357    1.122888
                         state_4 |  -.3450718   .4457852    -0.77   0.439    -1.219004    .5288608
                         state_5 |  -.0085996   .4389151    -0.02   0.984    -.8690639    .8518648
                         state_6 |    .035432   .4497855     0.08   0.937    -.8463429    .9172068
                         state_7 |   .0519994   .4649387     0.11   0.911    -.8594821    .9634809
                         state_8 |   .4667171   .5331221     0.88   0.381    -.5784331    1.511867
                         state_9 |   .2084936   .4846331     0.43   0.667    -.7415974    1.158585
                        state_10 |  -.0365473   .4392096    -0.08   0.934    -.8975889    .8244944
                        state_11 |  -.0064551   .4428397    -0.01   0.988    -.8746132     .861703
                        state_12 |   .2425084   .4968405     0.49   0.625    -.7315141    1.216531
                        state_13 |    .091026   .4508996     0.20   0.840    -.7929329    .9749848
                        state_14 |  -.0531516   .4638403    -0.11   0.909    -.9624799    .8561767
                        state_15 |   .0419535   .4421171     0.09   0.924    -.8247881     .908695
                        state_16 |  -.0852214   .4482524    -0.19   0.849    -.9639907    .7935478
                        state_17 |   .0291096    .455617     0.06   0.949    -.8640976    .9223167
                        state_18 |   .1213188   .4553052     0.27   0.790    -.7712771    1.013915
                        state_19 |   -.180533   .4618834    -0.39   0.696    -1.086025     .724959
                        state_20 |   .0112081   .4485014     0.02   0.980    -.8680495    .8904657
                        state_21 |   .2208265   .4476555     0.49   0.622    -.6567728    1.098426
                        state_22 |   .1978872   .4720967     0.42   0.675    -.7276271    1.123402
                        state_23 |  -.1545659   .4427715    -0.35   0.727     -1.02259    .7134586
                        state_24 |  -.1548654    .451517    -0.34   0.732    -1.040035     .730304
                        state_25 |  -.1373239   .4477482    -0.31   0.759    -1.015105    .7404568
                        state_26 |   .2003706   .4648587     0.43   0.666    -.7109542    1.111695
                        state_27 |  -.1824326   .4896825    -0.37   0.709    -1.142423    .7775576
                        state_28 |  -.0707282   .4440887    -0.16   0.873     -.941335    .7998786
                        state_29 |  -.5928477   .6142569    -0.97   0.335    -1.797057    .6113615
                        state_30 |  -.0980236   .4772904    -0.21   0.837     -1.03372    .8376725
                        state_31 |  -.0802618   .4792001    -0.17   0.867    -1.019702    .8591782
                        state_32 |   .0656421   .4447049     0.15   0.883    -.8061727    .9374568
                        state_33 |  -.1756834   .4695901    -0.37   0.708    -1.096284    .7449169
                        state_34 |  -.0928108    .459098    -0.20   0.840    -.9928422    .8072207
                        state_35 |    .136983   .4402441     0.31   0.756    -.7260867    1.000053
                        state_36 |   .0759567   .4426115     0.17   0.864    -.7917541    .9436676
                        state_37 |    .235443   .4681433     0.50   0.615     -.682321    1.153207
                        state_38 |  -.1304166   .4526467    -0.29   0.773    -1.017801    .7569674
                        state_39 |   .0410413   .4406834     0.09   0.926    -.8228896    .9049723
                        state_40 |   .4206494   .5032507     0.84   0.403    -.5659404    1.407239
                        state_41 |  -.0282481   .4538426    -0.06   0.950    -.9179767    .8614805
                        state_42 |   .1058724   .4851884     0.22   0.827    -.8453074    1.057052
                        state_43 |  -.0295619   .4489421    -0.07   0.948    -.9096834    .8505596
                        state_44 |  -.0773258    .439593    -0.18   0.860     -.939119    .7844674
                        state_45 |  -.1651802   .4603124    -0.36   0.720    -1.067592    .7372317
                        state_46 |  -.0573418   .4459501    -0.13   0.898    -.9315977    .8169141
                        state_47 |   .3135322   .5183645     0.60   0.545    -.7026866    1.329751
                        state_48 |  -.2199883   .4447037    -0.49   0.621    -1.091801     .651824
                        state_49 |   .0289893   .4462631     0.06   0.948    -.8458802    .9038588
                        state_50 |   .0729627   .4644937     0.16   0.875    -.8376466    .9835719
                        state_51 |  -.1727076   .5328991    -0.32   0.746    -1.217421    .8720055
                           _cons |   .4386282   .4459077     0.98   0.325    -.4355451    1.312802
--------------------------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001g.tmp"

. *Concern, Latent NSC 2
. mi estimate: regress z_dv_concern c.z_latentnsc2##c.z_polengage_scale c.age##c.z_polengage_scale i.male##c.z_polengage_scale i.race##c.z_polengage_scale c.education##c.z_polengage_scale c.income##c.z_polenga
> ge_scale i.sample_num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        965
                                                Average RVI       =     0.0039
                                                Largest FMI       =     0.0406
                                                Complete DF       =        896
DF adjustment:   Small sample                   DF:     min       =     810.63
                                                        avg       =     885.75
                                                        max       =     893.13
Model F test:       Equal FMI                   F(  68,  894.0)   =       1.43
Within VCE type:          OLS                   Prob > F          =     0.0151

----------------------------------------------------------------------------------------------------
                      z_dv_concern | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------------------------+----------------------------------------------------------------
                      z_latentnsc2 |  -.0365853    .034365    -1.06   0.287    -.1040309    .0308602
                 z_polengage_scale |  -.0441669   .2345265    -0.19   0.851    -.5044658    .4161321
                                   |
c.z_latentnsc2#c.z_polengage_scale |   -.095209   .0488337    -1.95   0.052    -.1910512    .0006332
                                   |
                               age |    .096039    .181852     0.53   0.598    -.2608687    .4529468
                 z_polengage_scale |          0  (omitted)
                                   |
         c.age#c.z_polengage_scale |  -.2755499    .243691    -1.13   0.258    -.7538244    .2027247
                                   |
                            1.male |   -.187434   .0752837    -2.49   0.013     -.335188     -.03968
                 z_polengage_scale |          0  (omitted)
                                   |
          male#c.z_polengage_scale |
                                1  |    .143184   .1033439     1.39   0.166    -.0596415    .3460095
                                   |
                              race |
                                1  |   -.164261    .157356    -1.04   0.297    -.4731075    .1445855
                                2  |   .2952765   .1941479     1.52   0.129    -.0857761    .6763291
                                3  |   .1149793   .1850962     0.62   0.535    -.2483058    .4782644
                                   |
                 z_polengage_scale |          0  (omitted)
                                   |
          race#c.z_polengage_scale |
                                1  |    .138956   .2088325     0.67   0.506    -.2709249    .5488368
                                2  |  -.1208281   .2708671    -0.45   0.656    -.6524691    .4108129
                                3  |  -.1971756   .2530177    -0.78   0.436    -.6938228    .2994716
                                   |
                         education |   .4199095   .1652899     2.54   0.011     .0955019    .7443172
                 z_polengage_scale |          0  (omitted)
                                   |
   c.education#c.z_polengage_scale |   .2089108   .2228468     0.94   0.349    -.2284583      .64628
                                   |
                            income |  -.3373635   .1413139    -2.39   0.017    -.6147182   -.0600089
                 z_polengage_scale |          0  (omitted)
                                   |
      c.income#c.z_polengage_scale |  -.0647735   .1738201    -0.37   0.710    -.4059257    .2763787
                                   |
                      5.sample_num |  -.0236952   .0849938    -0.28   0.780    -.1905066    .1431162
                           state_1 |          0  (omitted)
                           state_2 |  -.4837136   .6294683    -0.77   0.442    -1.719129    .7517017
                           state_3 |   .2341326     .67589     0.35   0.729     -1.09239    1.560655
                           state_4 |  -.2982974   .5356014    -0.56   0.578    -1.349491    .7528958
                           state_5 |   .1297761   .4969898     0.26   0.794    -.8456369    1.105189
                           state_6 |  -.8918126   .5729414    -1.56   0.120    -2.016289    .2326635
                           state_7 |  -.0124483   .6541932    -0.02   0.985    -1.296392    1.271495
                           state_8 |   .0233101    .794407     0.03   0.977    -1.535818    1.582438
                           state_9 |  -.1019794   .6785533    -0.15   0.881    -1.433728     1.22977
                          state_10 |   .0438269   .4982765     0.09   0.930    -.9341107    1.021764
                          state_11 |  -.0943034   .5074852    -0.19   0.853    -1.090314    .9017072
                          state_12 |  -.0986593   .8137429    -0.12   0.904    -1.695744    1.498426
                          state_13 |  -.1728977   .5440192    -0.32   0.751    -1.240609     .894814
                          state_14 |   .2214239   .6488566     0.34   0.733    -1.052043    1.494891
                          state_15 |  -.0044062   .5083087    -0.01   0.993    -1.002035    .9932224
                          state_16 |  -.1188007   .5406058    -0.22   0.826    -1.179813    .9422114
                          state_17 |   .1011617   .5623236     0.18   0.857    -1.002474    1.204798
                          state_18 |   .2062522   .5543682     0.37   0.710    -.8817704    1.294275
                          state_19 |  -.1001442   .5798329    -0.17   0.863    -1.238146    1.037858
                          state_20 |  -.0210223    .566065    -0.04   0.970    -1.132001    1.089956
                          state_21 |   .4374906   .5361241     0.82   0.415    -.6147263    1.489708
                          state_22 |   1.101194   .7831983     1.41   0.160    -.4359421    2.638331
                          state_23 |   .0235627   .5128981     0.05   0.963    -.9830709    1.030196
                          state_24 |  -.4353009    .561401    -0.78   0.438    -1.537127    .6665256
                          state_25 |   .1998836   .5467446     0.37   0.715    -.8731777    1.272945
                          state_26 |   .3782277    .588393     0.64   0.521    -.7765729    1.533028
                          state_27 |   .3475971   .8934815     0.39   0.697    -1.405974    2.101168
                          state_28 |   .0182154   .5132211     0.04   0.972    -.9890527    1.025483
                          state_29 |   .5808316   1.177251     0.49   0.622     -1.72967    2.891334
                          state_30 |  -.3331487    .780408    -0.43   0.670    -1.864799    1.198502
                          state_31 |     .28785   .7831271     0.37   0.713    -1.249137    1.824837
                          state_32 |    .412351   .5212196     0.79   0.429    -.6106151    1.435317
                          state_33 |   .2687866    .898449     0.30   0.765    -1.494534    2.032107
                          state_34 |  -.1941602   .5646732    -0.34   0.731    -1.302408     .914088
                          state_35 |   .1628782   .4995034     0.33   0.744    -.8174675    1.143224
                          state_36 |   .3815454   .5129862     0.74   0.457    -.6252607    1.388352
                          state_37 |   .0669639   .5717906     0.12   0.907    -1.055253    1.189181
                          state_38 |  -.1172214    .556872    -0.21   0.833    -1.210157    .9757146
                          state_39 |   .0382123   .5113539     0.07   0.940    -.9653908    1.041815
                          state_40 |    .238879    .785774     0.30   0.761    -1.303303    1.781061
                          state_41 |  -.1490133   .5501711    -0.27   0.787    -1.228799    .9307721
                          state_42 |   1.684573   1.167222     1.44   0.149    -.6062446    3.975391
                          state_43 |  -.1165654   .5470894    -0.21   0.831    -1.190304    .9571732
                          state_44 |  -.1158008   .4978366    -0.23   0.816    -1.092876    .8612745
                          state_45 |   .0944294   .5988216     0.16   0.875    -1.080839    1.269698
                          state_46 |   .5308773   .5370247     0.99   0.323    -.5231107    1.584865
                          state_47 |  -.7158702   1.172697    -0.61   0.542    -3.017434    1.585693
                          state_48 |   .0375132   .5315237     0.07   0.944    -1.005676    1.080703
                          state_49 |   .0217014   .5606591     0.04   0.969    -1.078668    1.122071
                          state_50 |  -.0776329    .613505    -0.13   0.899    -1.281719    1.126453
                          state_51 |  -.7932272   .8973713    -0.88   0.377    -2.554431    .9679766
                             _cons |  -.2718413   .5203467    -0.52   0.602    -1.293103    .7494206
----------------------------------------------------------------------------------------------------

. mi estimate: regress z_dv_concern c.z_latentnsc2##c.z_polint_scale c.age##c.z_polint_scale i.male##c.z_polint_scale i.race##c.z_polint_scale c.education##c.z_polint_scale c.income##c.z_polint_scale i.sample_
> num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        896
                                                Average RVI       =     0.0034
                                                Largest FMI       =     0.0393
                                                Complete DF       =        827
DF adjustment:   Small sample                   DF:     min       =     754.65
                                                        avg       =     814.76
                                                        max       =     824.33
Model F test:       Equal FMI                   F(  68,  825.0)   =       1.50
Within VCE type:          OLS                   Prob > F          =     0.0073

-------------------------------------------------------------------------------------------------
                   z_dv_concern | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------------------------+----------------------------------------------------------------
                   z_latentnsc2 |  -.0579555   .0326191    -1.78   0.076    -.1219819    .0060708
                 z_polint_scale |   .1927928   .2368978     0.81   0.416    -.2722091    .6577948
                                |
c.z_latentnsc2#c.z_polint_scale |  -.1018441   .0459778    -2.22   0.027    -.1920915   -.0115967
                                |
                            age |  -.0224238   .1757805    -0.13   0.899    -.3674542    .3226067
                 z_polint_scale |          0  (omitted)
                                |
         c.age#c.z_polint_scale |  -.2029076     .24061    -0.84   0.399    -.6751897    .2693745
                                |
                         1.male |  -.1746885   .0763786    -2.29   0.022    -.3246083   -.0247688
                 z_polint_scale |          0  (omitted)
                                |
          male#c.z_polint_scale |
                             1  |   .1265034   .1027829     1.23   0.219    -.0752442    .3282509
                                |
                           race |
                             1  |  -.2224414   .1696688    -1.31   0.190    -.5554884    .1106056
                             2  |   .2351729   .2097375     1.12   0.263    -.1765204    .6468662
                             3  |  -.0254092   .2024408    -0.13   0.900    -.4227823    .3719639
                                |
                 z_polint_scale |          0  (omitted)
                                |
          race#c.z_polint_scale |
                             1  |  -.0042064   .2088199    -0.02   0.984       -.4141    .4056871
                             2  |  -.0404164   .2706944    -0.15   0.881    -.5717703    .4909375
                             3  |   -.194579   .2474005    -0.79   0.432     -.680254    .2910961
                                |
                      education |   .3756034   .1724399     2.18   0.030     .0371242    .7140826
                 z_polint_scale |          0  (omitted)
                                |
   c.education#c.z_polint_scale |   .0996663   .2143066     0.47   0.642    -.3209877    .5203202
                                |
                         income |  -.3433611   .1444493    -2.38   0.018    -.6268991   -.0598231
                 z_polint_scale |          0  (omitted)
                                |
      c.income#c.z_polint_scale |  -.0448055   .1707976    -0.26   0.793    -.3800589     .290448
                                |
                   5.sample_num |  -.0225388   .0870655    -0.26   0.796    -.1934354    .1483577
                        state_1 |          0  (omitted)
                        state_2 |  -.5768581   .7529583    -0.77   0.444     -2.05482    .9011035
                        state_3 |   .0448627   .7784337     0.06   0.954    -1.483102    1.572828
                        state_4 |  -.3598858   .6587299    -0.55   0.585    -1.652898    .9331264
                        state_5 |   .0114521    .630702     0.02   0.986    -1.226546     1.24945
                        state_6 |  -1.046485   .6912775    -1.51   0.130     -2.40338      .31041
                        state_7 |  -.4681319   .7824629    -0.60   0.550    -2.004007    1.067743
                        state_8 |   .0644429   .8818787     0.07   0.942    -1.666565    1.795451
                        state_9 |   -.241823   .7791774    -0.31   0.756    -1.771247      1.2876
                       state_10 |  -.0948459   .6309124    -0.15   0.881    -1.333256    1.143564
                       state_11 |   -.280893   .6390073    -0.44   0.660    -1.535192    .9734059
                       state_12 |  -.2833677   .9801918    -0.29   0.773    -2.207349    1.640613
                       state_13 |  -.3418308   .6663929    -0.51   0.608    -1.649881    .9662198
                       state_14 |  -.1280905   .7785655    -0.16   0.869    -1.656314    1.400133
                       state_15 |  -.1024751   .6398912    -0.16   0.873    -1.358511    1.153561
                       state_16 |   -.231757   .6674915    -0.35   0.729    -1.541964     1.07845
                       state_17 |   .1700481    .688569     0.25   0.805     -1.18153    1.521626
                       state_18 |   .0332522   .6751581     0.05   0.961    -1.292003    1.358507
                       state_19 |  -.1546913   .7017403    -0.22   0.826    -1.532124    1.222742
                       state_20 |  -.1357795   .6851255    -0.20   0.843    -1.480598    1.209039
                       state_21 |   .2586962   .6631879     0.39   0.697    -1.043064    1.560456
                       state_22 |    .963602   .8697791     1.11   0.268    -.7436671    2.670871
                       state_23 |  -.0657543   .6464754    -0.10   0.919    -1.334712    1.203203
                       state_24 |  -.6414413    .684818    -0.94   0.349    -1.985658    .7027756
                       state_25 |   .1580502   .6745303     0.23   0.815    -1.165973    1.482073
                       state_26 |  -.0171109    .723079    -0.02   0.981    -1.436428    1.402206
                       state_27 |   .1531795   .9702819     0.16   0.875    -1.751348    2.057707
                       state_28 |  -.1035097   .6432968    -0.16   0.872    -1.366228    1.159209
                       state_29 |    .472454   1.231951     0.38   0.701    -1.945686    2.890594
                       state_30 |  -.4425514   .8674775    -0.51   0.610    -2.145292    1.260189
                       state_31 |   .0733492    .869855     0.08   0.933    -1.634058    1.780756
                       state_32 |   .2679865   .6511913     0.41   0.681    -1.010228    1.546201
                       state_33 |   .1051902   .9767568     0.11   0.914    -1.812048    2.022428
                       state_34 |  -.3209109   .6832484    -0.47   0.639    -1.662046    1.020225
                       state_35 |   .0315495   .6321644     0.05   0.960    -1.209318    1.272417
                       state_36 |   .3083401   .6441689     0.48   0.632    -.9560873    1.572768
                       state_37 |  -.0428307   .6881295    -0.06   0.950    -1.393546    1.307885
                       state_38 |  -.2757226   .6760303    -0.41   0.683    -1.602685     1.05124
                       state_39 |  -.0265977   .6426393    -0.04   0.967    -1.288026     1.23483
                       state_40 |   .1540874   .8730821     0.18   0.860    -1.559654    1.867829
                       state_41 |  -.4054458   .6755757    -0.60   0.549     -1.73152    .9206287
                       state_42 |   1.658707    1.22294     1.36   0.175    -.7417437    4.059158
                       state_43 |   -.259469   .6687668    -0.39   0.698    -1.572181    1.053243
                       state_44 |  -.2407832   .6308787    -0.38   0.703    -1.479129    .9975623
                       state_45 |  -.0980945   .7223714    -0.14   0.892     -1.51602    1.319831
                       state_46 |   .4164903   .6723222     0.62   0.536    -.9032008    1.736181
                       state_47 |  -.8739958    1.22846    -0.71   0.477    -3.285281    1.537289
                       state_48 |     .00567   .6598241     0.01   0.993     -1.28949     1.30083
                       state_49 |  -.0257933   .6899569    -0.04   0.970    -1.380095    1.328508
                       state_50 |  -.0530897   .7380132    -0.07   0.943    -1.501718    1.395538
                       state_51 |  -.8495126   .9753488    -0.87   0.384    -2.763985     1.06496
                          _cons |   .0349052   .6500244     0.05   0.957    -1.241026    1.310837
-------------------------------------------------------------------------------------------------

. mi estimate: regress z_dv_concern c.z_latentnsc2##c.z_polknow_scale c.age##c.z_polknow_scale i.male##c.z_polknow_scale i.race##c.z_polknow_scale c.education##c.z_polknow_scale c.income##c.z_polknow_scale i.s
> ample_num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        897
                                                Average RVI       =     0.0031
                                                Largest FMI       =     0.0239
                                                Complete DF       =        828
DF adjustment:   Small sample                   DF:     min       =     791.36
                                                        avg       =     820.77
                                                        max       =     825.48
Model F test:       Equal FMI                   F(  68,  826.0)   =       1.29
Within VCE type:          OLS                   Prob > F          =     0.0650

--------------------------------------------------------------------------------------------------
                    z_dv_concern | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------------------------+----------------------------------------------------------------
                    z_latentnsc2 |  -.0701674   .0362728    -1.93   0.053    -.1413654    .0010305
                 z_polknow_scale |  -.1658959   .1996387    -0.83   0.406    -.5577717    .2259798
                                 |
c.z_latentnsc2#c.z_polknow_scale |  -.0301894   .0420635    -0.72   0.473    -.1127534    .0523747
                                 |
                             age |   .2083648    .189674     1.10   0.272    -.1639358    .5806655
                 z_polknow_scale |          0  (omitted)
                                 |
         c.age#c.z_polknow_scale |  -.1976134   .2020554    -0.98   0.328     -.594217    .1989901
                                 |
                          1.male |  -.1411019   .0805677    -1.75   0.080    -.2992439    .0170402
                 z_polknow_scale |          0  (omitted)
                                 |
          male#c.z_polknow_scale |
                              1  |   .0558778   .0883405     0.63   0.527    -.1175207    .2292764
                                 |
                            race |
                              1  |  -.1431301   .1619946    -0.88   0.377     -.461115    .1748549
                              2  |   .2806977   .2026407     1.39   0.166    -.1170675     .678463
                              3  |   .1543783   .1921956     0.80   0.422     -.222889    .5316455
                                 |
                 z_polknow_scale |          0  (omitted)
                                 |
          race#c.z_polknow_scale |
                              1  |   .1798529   .1702736     1.06   0.291    -.1543884    .5140942
                              2  |   -.109903   .2118905    -0.52   0.604    -.5258247    .3060187
                              3  |  -.0417536   .2047181    -0.20   0.838    -.4435969    .3600897
                                 |
                       education |   .4639583   .1740054     2.67   0.008      .122408    .8055086
                 z_polknow_scale |          0  (omitted)
                                 |
   c.education#c.z_polknow_scale |   .0920993   .1914207     0.48   0.631    -.2836357    .4678342
                                 |
                          income |  -.3641101   .1517756    -2.40   0.017    -.6620333   -.0661869
                 z_polknow_scale |          0  (omitted)
                                 |
      c.income#c.z_polknow_scale |   .0167637   .1500382     0.11   0.911    -.2777442    .3112716
                                 |
                    5.sample_num |   .0219781   .0891482     0.25   0.805    -.1530066    .1969629
                         state_1 |          0  (omitted)
                         state_2 |  -.5519732   .6323093    -0.87   0.383    -1.793099    .6891525
                         state_3 |   .2925119   .6790126     0.43   0.667    -1.040285    1.625309
                         state_4 |  -.4594379   .5453684    -0.84   0.400    -1.529914    .6110385
                         state_5 |    .088798    .499324     0.18   0.859     -.891301    1.068897
                         state_6 |  -.8396184   .5754488    -1.46   0.145    -1.969138    .2899013
                         state_7 |   .0299168   .6554187     0.05   0.964    -1.256572    1.316405
                         state_8 |   .0260808   .7944656     0.03   0.974    -1.533333    1.585494
                         state_9 |  -.1258918   .6804067    -0.19   0.853    -1.461425    1.209641
                        state_10 |  -.0716862   .5016258    -0.14   0.886    -1.056303    .9129303
                        state_11 |  -.0727129   .5117884    -0.14   0.887    -1.077277    .9318509
                        state_12 |  -.2110987    .816057    -0.26   0.796    -1.812904    1.390707
                        state_13 |  -.2279981   .5499342    -0.41   0.679    -1.307435    .8514392
                        state_14 |   .2106348   .6523268     0.32   0.747    -1.069783    1.491052
                        state_15 |  -.0598037    .513478    -0.12   0.907    -1.067685    .9480781
                        state_16 |  -.1126737   .5513018    -0.20   0.838    -1.194795    .9694478
                        state_17 |   .0649808   .5643367     0.12   0.908    -1.042726    1.172688
                        state_18 |   .1603227   .5663224     0.28   0.777    -.9512819    1.271927
                        state_19 |  -.1138196   .5815224    -0.20   0.845    -1.255261    1.027622
                        state_20 |     .08695   .5752179     0.15   0.880    -1.042115    1.216015
                        state_21 |   .3189738   .5441294     0.59   0.558    -.7490701    1.387018
                        state_22 |   1.117096   .7865479     1.42   0.156    -.4267824    2.660974
                        state_23 |  -.1021018   .5174891    -0.20   0.844    -1.117855    .9136518
                        state_24 |  -.4873126   .5639419    -0.86   0.388    -1.594246    .6196208
                        state_25 |   .1371528   .5537684     0.25   0.804    -.9498114    1.224117
                        state_26 |   .4031887   .5902207     0.68   0.495     -.755325    1.561702
                        state_27 |   .3035804   .8970715     0.34   0.735     -1.45723    2.064391
                        state_28 |  -.0569416     .51824    -0.11   0.913    -1.074169    .9602858
                        state_29 |   .6435477   1.181225     0.54   0.586    -1.675011    2.962106
                        state_30 |  -.3503948   .7842265    -0.45   0.655    -1.889709     1.18892
                        state_31 |   .1877062    .902932     0.21   0.835    -1.584608     1.96002
                        state_32 |   .3671626    .526088     0.70   0.485    -.6654695    1.399795
                        state_33 |   .1791558   .8999153     0.20   0.842    -1.587237    1.945548
                        state_34 |  -.3537058   .5809732    -0.61   0.543    -1.494068    .7866563
                        state_35 |   .1641023   .5021616     0.33   0.744    -.8215665    1.149771
                        state_36 |   .2638687   .5180751     0.51   0.611    -.7530345    1.280772
                        state_37 |  -.0506047   .5915456    -0.09   0.932    -1.211719    1.110509
                        state_38 |  -.1574953   .5587024    -0.28   0.778    -1.254147    .9391559
                        state_39 |   .0508461     .51375     0.10   0.921    -.9575679     1.05926
                        state_40 |    .184563   .7876516     0.23   0.815    -1.361474      1.7306
                        state_41 |  -.1449833    .556044    -0.26   0.794    -1.236413    .9464467
                        state_42 |   1.662128    1.17629     1.41   0.158    -.6467448    3.971001
                        state_43 |  -.1808751   .5531279    -0.33   0.744    -1.266582    .9048321
                        state_44 |  -.1213215    .499801    -0.24   0.808    -1.102357    .8597139
                        state_45 |   .0735663   .6009332     0.12   0.903    -1.105974    1.253107
                        state_46 |   .4217138   .5438548     0.78   0.438    -.6457926     1.48922
                        state_47 |  -.7781951   1.178606    -0.66   0.509    -3.091613    1.535223
                        state_48 |   .0908867   .5377895     0.17   0.866    -.9647135    1.146487
                        state_49 |   .0168057   .5752119     0.03   0.977    -1.112248    1.145859
                        state_50 |  -.4092837   .6317825    -0.65   0.517    -1.649376    .8308089
                        state_51 |  -1.008957   .8976858    -1.12   0.261    -2.770973    .7530592
                           _cons |  -.3541025   .5258219    -0.67   0.501    -1.386221     .678016
--------------------------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001h.tmp"

. mi estimate: regress z_dv_concern c.z_latentnsc2##c.z_polengage_scale c.age##c.z_polengage_scale i.male##c.z_polengage_scale i.race##c.z_polengage_scale c.education##c.z_polengage_scale c.income##c.z_polenga
> ge_scale i.sample_num 

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        965
                                                Average RVI       =     0.0113
                                                Largest FMI       =     0.0401
                                                Complete DF       =        946
DF adjustment:   Small sample                   DF:     min       =     854.88
                                                        avg       =     926.64
                                                        max       =     942.97
Model F test:       Equal FMI                   F(  18,  943.7)   =       2.73
Within VCE type:          OLS                   Prob > F          =     0.0001

----------------------------------------------------------------------------------------------------
                      z_dv_concern | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------------------------+----------------------------------------------------------------
                      z_latentnsc2 |  -.0351913   .0335066    -1.05   0.294    -.1009474    .0305647
                 z_polengage_scale |  -.0012833   .2224426    -0.01   0.995    -.4378321    .4352654
                                   |
c.z_latentnsc2#c.z_polengage_scale |  -.0913247   .0475681    -1.92   0.055    -.1846763     .002027
                                   |
                               age |   .0566101   .1757305     0.32   0.747    -.2882584    .4014786
                 z_polengage_scale |          0  (omitted)
                                   |
         c.age#c.z_polengage_scale |  -.2168151   .2362983    -0.92   0.359    -.6805471    .2469169
                                   |
                            1.male |  -.1802817   .0726226    -2.48   0.013    -.3228024    -.037761
                 z_polengage_scale |          0  (omitted)
                                   |
          male#c.z_polengage_scale |
                                1  |    .141354    .100039     1.41   0.158    -.0549711     .337679
                                   |
                              race |
                                1  |  -.1724778   .1499595    -1.15   0.250    -.4667838    .1218282
                                2  |   .2730299    .185689     1.47   0.142    -.0913908    .6374507
                                3  |   .0724412   .1810055     0.40   0.689    -.2827898    .4276722
                                   |
                 z_polengage_scale |          0  (omitted)
                                   |
          race#c.z_polengage_scale |
                                1  |   .1079591   .1982714     0.54   0.586    -.2811601    .4970782
                                2  |  -.1579131   .2616524    -0.60   0.546    -.6714362      .35561
                                3  |  -.1426897   .2409411    -0.59   0.554    -.6155951    .3302158
                                   |
                         education |   .3589824   .1593536     2.25   0.025     .0462494    .6717153
                 z_polengage_scale |          0  (omitted)
                                   |
   c.education#c.z_polengage_scale |   .1639384   .2148629     0.76   0.446     -.257732    .5856087
                                   |
                            income |  -.2766681   .1355365    -2.04   0.042    -.5426604   -.0106758
                 z_polengage_scale |          0  (omitted)
                                   |
      c.income#c.z_polengage_scale |  -.0420586    .168374    -0.25   0.803    -.3724962    .2883791
                                   |
                      5.sample_num |  -.0617956   .0820562    -0.75   0.452    -.2228299    .0992386
                             _cons |  -.1740321   .1818762    -0.96   0.339    -.5309666    .1829025
----------------------------------------------------------------------------------------------------

. mi estimate: regress z_dv_concern c.z_latentnsc2##c.z_polint_scale c.age##c.z_polint_scale i.male##c.z_polint_scale i.race##c.z_polint_scale c.education##c.z_polint_scale c.income##c.z_polint_scale i.sample_
> num 

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        896
                                                Average RVI       =     0.0113
                                                Largest FMI       =     0.0431
                                                Complete DF       =        877
DF adjustment:   Small sample                   DF:     min       =     787.13
                                                        avg       =     859.77
                                                        max       =     874.45
Model F test:       Equal FMI                   F(  18,  874.7)   =       2.90
Within VCE type:          OLS                   Prob > F          =     0.0000

-------------------------------------------------------------------------------------------------
                   z_dv_concern | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------------------------+----------------------------------------------------------------
                   z_latentnsc2 |  -.0591652   .0317715    -1.86   0.063    -.1215225    .0031922
                 z_polint_scale |    .262786   .2328568     1.13   0.259    -.1942475    .7198195
                                |
c.z_latentnsc2#c.z_polint_scale |  -.1042879   .0446264    -2.34   0.020    -.1918753   -.0167005
                                |
                            age |  -.0242454   .1700699    -0.14   0.887    -.3580388    .3095479
                 z_polint_scale |          0  (omitted)
                                |
         c.age#c.z_polint_scale |  -.1092623   .2350232    -0.46   0.642    -.5705394    .3520147
                                |
                         1.male |  -.1633437   .0739241    -2.21   0.027    -.3084334    -.018254
                 z_polint_scale |          0  (omitted)
                                |
          male#c.z_polint_scale |
                             1  |   .1000006   .0992298     1.01   0.314    -.0947563    .2947575
                                |
                           race |
                             1  |  -.2166288   .1631494    -1.33   0.185     -.536851    .1035934
                             2  |   .1995968   .2023074     0.99   0.324     -.197477    .5966706
                             3  |  -.0477738   .1985413    -0.24   0.810     -.437461    .3419135
                                |
                 z_polint_scale |          0  (omitted)
                                |
          race#c.z_polint_scale |
                             1  |  -.0718864   .2057397    -0.35   0.727    -.4757021    .3319292
                             2  |    -.16213     .26657    -0.61   0.543    -.6853659    .3611058
                             3  |  -.1916443   .2413156    -0.79   0.427    -.6653426     .282054
                                |
                      education |   .3135347   .1658856     1.89   0.059    -.0120496     .639119
                 z_polint_scale |          0  (omitted)
                                |
   c.education#c.z_polint_scale |   .0270432    .208137     0.13   0.897    -.3814674    .4355538
                                |
                         income |  -.2840138   .1386845    -2.05   0.041    -.5562112   -.0118163
                 z_polint_scale |          0  (omitted)
                                |
      c.income#c.z_polint_scale |  -.0180833   .1658609    -0.11   0.913    -.3436188    .3074522
                                |
                   5.sample_num |  -.0676406   .0839459    -0.81   0.421       -.2324    .0971187
                          _cons |  -.0160178   .1940014    -0.08   0.934    -.3967859    .3647502
-------------------------------------------------------------------------------------------------

. mi estimate: regress z_dv_concern c.z_latentnsc2##c.z_polknow_scale c.age##c.z_polknow_scale i.male##c.z_polknow_scale i.race##c.z_polknow_scale c.education##c.z_polknow_scale c.income##c.z_polknow_scale i.s
> ample_num 

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        897
                                                Average RVI       =     0.0080
                                                Largest FMI       =     0.0180
                                                Complete DF       =        878
DF adjustment:   Small sample                   DF:     min       =     850.53
                                                        avg       =     864.98
                                                        max       =     875.15
Model F test:       Equal FMI                   F(  18,  875.8)   =       2.31
Within VCE type:          OLS                   Prob > F          =     0.0015

--------------------------------------------------------------------------------------------------
                    z_dv_concern | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------------------------+----------------------------------------------------------------
                    z_latentnsc2 |  -.0700176   .0352708    -1.99   0.047    -.1392429   -.0007922
                 z_polknow_scale |  -.1820427   .1887314    -0.96   0.335    -.5524722    .1883868
                                 |
c.z_latentnsc2#c.z_polknow_scale |  -.0247029   .0406615    -0.61   0.544    -.1045084    .0551025
                                 |
                             age |   .1766472    .183101     0.96   0.335    -.1827216     .536016
                 z_polknow_scale |          0  (omitted)
                                 |
         c.age#c.z_polknow_scale |  -.1927026   .1938214    -0.99   0.320     -.573112    .1877069
                                 |
                          1.male |  -.1472099   .0774103    -1.90   0.058    -.2991418     .004722
                 z_polknow_scale |          0  (omitted)
                                 |
          male#c.z_polknow_scale |
                              1  |   .0734448    .084973     0.86   0.388    -.0933299    .2402196
                                 |
                            race |
                              1  |  -.1519033   .1539035    -0.99   0.324    -.4539783    .1501717
                              2  |   .2719543   .1939144     1.40   0.161     -.108646    .6525545
                              3  |   .1171499   .1871565     0.63   0.532    -.2501929    .4844927
                                 |
                 z_polknow_scale |          0  (omitted)
                                 |
          race#c.z_polknow_scale |
                              1  |    .182597    .160173     1.14   0.255    -.1317832    .4969773
                              2  |  -.0834329   .2032385    -0.41   0.682    -.4823357      .31547
                              3  |  -.0240751   .1961144    -0.12   0.902    -.4089944    .3608441
                                 |
                       education |   .4068902   .1675473     2.43   0.015     .0780445    .7357359
                 z_polknow_scale |          0  (omitted)
                                 |
   c.education#c.z_polknow_scale |   .1357571   .1846838     0.74   0.462    -.2267227    .4982369
                                 |
                          income |  -.2994872   .1446514    -2.07   0.039    -.5833963   -.0155782
                 z_polknow_scale |          0  (omitted)
                                 |
      c.income#c.z_polknow_scale |   .0078055   .1448201     0.05   0.957    -.2764351     .292046
                                 |
                    5.sample_num |  -.0194782   .0858123    -0.23   0.820    -.1879009    .1489445
                           _cons |  -.3061063   .1880387    -1.63   0.104    -.6751727    .0629602
--------------------------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001i.tmp"

. 
. *Restrictions, Authoritarianism 
. mi estimate: regress z_dv_restrictions c.z_auth_scale##c.z_polengage_scale c.age##c.z_polengage_scale i.male##c.z_polengage_scale i.race##c.z_polengage_scale c.education##c.z_polengage_scale c.income##c.z_po
> lengage_scale i.sample_num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      6,870
                                                Average RVI       =     0.0041
                                                Largest FMI       =     0.0815
                                                Complete DF       =       6800
DF adjustment:   Small sample                   DF:     min       =   2,309.66
                                                        avg       =   6,597.68
                                                        max       =   6,797.96
Model F test:       Equal FMI                   F(  69, 6797.5)   =      15.41
Within VCE type:          OLS                   Prob > F          =     0.0000

----------------------------------------------------------------------------------------------------
                 z_dv_restrictions | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------------------------+----------------------------------------------------------------
                      z_auth_scale |  -.1313836   .0114062   -11.52   0.000    -.1537433   -.1090239
                 z_polengage_scale |   .1683599   .0568406     2.96   0.003      .056934    .2797857
                                   |
c.z_auth_scale#c.z_polengage_scale |  -.1369684   .0125285   -10.93   0.000    -.1615281   -.1124086
                                   |
                               age |  -.3117814    .058554    -5.32   0.000    -.4265669   -.1969958
                 z_polengage_scale |          0  (omitted)
                                   |
         c.age#c.z_polengage_scale |  -.2695413   .0645372    -4.18   0.000    -.3960595    -.143023
                                   |
                            1.male |  -.1144465   .0239375    -4.78   0.000    -.1613721   -.0675209
                 z_polengage_scale |          0  (omitted)
                                   |
          male#c.z_polengage_scale |
                                1  |  -.1377741   .0266078    -5.18   0.000    -.1899372    -.085611
                                   |
                              race |
                                1  |  -.0606855   .0450489    -1.35   0.178    -.1489955    .0276245
                                2  |   .4226919   .0572016     7.39   0.000     .3105588    .5348249
                                3  |   .1139577   .0568274     2.01   0.045     .0025582    .2253572
                                   |
                 z_polengage_scale |          0  (omitted)
                                   |
          race#c.z_polengage_scale |
                                1  |  -.0101496   .0477818    -0.21   0.832    -.1038169    .0835177
                                2  |   .1670949   .0598951     2.79   0.005     .0496817     .284508
                                3  |  -.0028448   .0599472    -0.05   0.962      -.12036    .1146705
                                   |
                         education |   .2147288   .0456814     4.70   0.000      .125178    .3042797
                 z_polengage_scale |          0  (omitted)
                                   |
   c.education#c.z_polengage_scale |   .0417839    .050455     0.83   0.408    -.0571253    .1406932
                                   |
                            income |   .1064042   .0494526     2.15   0.032     .0094322    .2033763
                 z_polengage_scale |          0  (omitted)
                                   |
      c.income#c.z_polengage_scale |  -.0915619   .0548793    -1.67   0.095    -.1991797    .0160559
                                   |
                        sample_num |
                                4  |   -.254425   .0355577    -7.16   0.000    -.3241292   -.1847207
                                6  |   .0451098   .0344286     1.31   0.190    -.0223811    .1126007
                                   |
                           state_1 |   .3956657   .3047124     1.30   0.194    -.2016659    .9929974
                           state_2 |   .0746159   .2525532     0.30   0.768    -.4204674    .5696993
                           state_3 |   .2616421   .2567695     1.02   0.308    -.2417065    .7649907
                           state_4 |   .0718051   .2439424     0.29   0.768    -.4063984    .5500086
                           state_5 |   .4200571   .2378136     1.77   0.077    -.0461319    .8862462
                           state_6 |   .2343888   .2478916     0.95   0.344    -.2515564     .720334
                           state_7 |   .2967987   .2618884     1.13   0.257    -.2165846     .810182
                           state_8 |   .8728095   .3026703     2.88   0.004     .2794809    1.466138
                           state_9 |   .3281829   .2973544     1.10   0.270    -.2547248    .9110907
                          state_10 |   .2147578   .2381886     0.90   0.367    -.2521664     .681682
                          state_11 |   .2033707   .2428172     0.84   0.402     -.272627    .6793685
                          state_12 |   .5186402   .2861121     1.81   0.070     -.042229    1.079509
                          state_13 |   .3195109   .2578979     1.24   0.215    -.1860497    .8250715
                          state_14 |   .2753866   .2712945     1.02   0.310    -.2564356    .8072088
                          state_15 |   .2641517   .2423716     1.09   0.276    -.2109725    .7392759
                          state_16 |   .1546078   .2474968     0.62   0.532    -.3305635     .639779
                          state_17 |   .3418313   .2588987     1.32   0.187    -.1656913    .8493539
                          state_18 |   .3646599   .2540671     1.44   0.151    -.1333911    .8627109
                          state_19 |   -.118099   .2579388    -0.46   0.647    -.6237398    .3875417
                          state_20 |   .3647048   .2472854     1.47   0.140     -.120052    .8494616
                          state_21 |    .436069   .2478292     1.76   0.079    -.0497538    .9218917
                          state_22 |    .401588   .2763838     1.45   0.146    -.1402107    .9433867
                          state_23 |   .2110192    .242611     0.87   0.384    -.2645744    .6866128
                          state_24 |   .2921763   .2518509     1.16   0.246    -.2015304     .785883
                          state_25 |   .0236026   .2463283     0.10   0.924     -.459278    .5064831
                          state_26 |  -.0998079   .2707922    -0.37   0.712    -.6306453    .4310296
                          state_27 |  -.1215348   .2877893    -0.42   0.673     -.685692    .4426225
                          state_28 |   .1948031   .2438732     0.80   0.424    -.2832648     .672871
                          state_29 |  -.1291528   .3378635    -0.38   0.702    -.7914709    .5331654
                          state_30 |   .1934005    .271175     0.71   0.476    -.3381873    .7249883
                          state_31 |   .0229137   .2808558     0.08   0.935    -.5276515    .5734789
                          state_32 |   .1923222   .2442012     0.79   0.431    -.2863885    .6710329
                          state_33 |   -.184491    .273213    -0.68   0.500     -.720074     .351092
                          state_34 |   .1406991   .2580304     0.55   0.586    -.3651213    .6465194
                          state_35 |   .5131817   .2389167     2.15   0.032       .04483    .9815333
                          state_36 |   .2804061   .2421526     1.16   0.247    -.1942888     .755101
                          state_37 |   .2540253   .2621596     0.97   0.333    -.2598896    .7679403
                          state_38 |   .2100189   .2531632     0.83   0.407    -.2862602    .7062981
                          state_39 |   .1582859   .2395936     0.66   0.509    -.3113925    .6279643
                          state_40 |   .6224142   .3019523     2.06   0.039     .0304931    1.214335
                          state_41 |   .2968607   .2525043     1.18   0.240    -.1981267    .7918482
                          state_42 |  -.1910318   .2993946    -0.64   0.523    -.7779391    .3958754
                          state_43 |   .1964688   .2479516     0.79   0.428     -.289594    .6825316
                          state_44 |   .2060448   .2386955     0.86   0.388     -.261873    .6739626
                          state_45 |   .0420518   .2627425     0.16   0.873    -.4730058    .5571094
                          state_46 |   .1926143   .2452594     0.79   0.432     -.288171    .6733996
                          state_47 |   .3191421   .3048785     1.05   0.295    -.2785151    .9167993
                          state_48 |   .1868022   .2452513     0.76   0.446    -.2939672    .6675716
                          state_49 |   .1866249    .246659     0.76   0.449     -.296904    .6701538
                          state_50 |   .3300036   .2671206     1.24   0.217    -.1936364    .8536435
                          state_51 |          0  (omitted)
                             _cons |  -.0974201   .2430936    -0.40   0.689    -.5739597    .3791195
----------------------------------------------------------------------------------------------------

. mi estimate: regress z_dv_restrictions c.z_auth_scale##c.z_polint_scale c.age##c.z_polint_scale i.male##c.z_polint_scale i.race##c.z_polint_scale c.education##c.z_polint_scale c.income##c.z_polint_scale i.sa
> mple_num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      6,868
                                                Average RVI       =     0.0035
                                                Largest FMI       =     0.0864
                                                Complete DF       =       6798
DF adjustment:   Small sample                   DF:     min       =   2,137.44
                                                        avg       =   6,625.20
                                                        max       =   6,795.83
Model F test:       Equal FMI                   F(  69, 6795.6)   =      14.63
Within VCE type:          OLS                   Prob > F          =     0.0000

-------------------------------------------------------------------------------------------------
              z_dv_restrictions | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------------------------+----------------------------------------------------------------
                   z_auth_scale |  -.1370733   .0112396   -12.20   0.000    -.1591064   -.1150402
                 z_polint_scale |   .1515818   .0537889     2.82   0.005     .0461385    .2570252
                                |
c.z_auth_scale#c.z_polint_scale |  -.1000029   .0119057    -8.40   0.000    -.1233418    -.076664
                                |
                            age |  -.3396487   .0585035    -5.81   0.000    -.4543354   -.2249619
                 z_polint_scale |          0  (omitted)
                                |
         c.age#c.z_polint_scale |  -.3446143   .0597888    -5.76   0.000     -.461821   -.2274076
                                |
                         1.male |   -.153965   .0235179    -6.55   0.000    -.2000681   -.1078619
                 z_polint_scale |          0  (omitted)
                                |
          male#c.z_polint_scale |
                             1  |  -.0929233   .0251323    -3.70   0.000    -.1421925   -.0436542
                                |
                           race |
                             1  |  -.0828821   .0453565    -1.83   0.068     -.171795    .0060308
                             2  |   .3993637   .0572359     6.98   0.000     .2871634     .511564
                             3  |   .1076169    .057107     1.88   0.060    -.0043308    .2195645
                                |
                 z_polint_scale |          0  (omitted)
                                |
          race#c.z_polint_scale |
                             1  |   .0457956   .0449967     1.02   0.309    -.0424119    .1340032
                             2  |   .1868104    .057243     3.26   0.001     .0745963    .2990246
                             3  |   .0261558   .0565179     0.46   0.644     -.084637    .1369487
                                |
                      education |   .1895085   .0451838     4.19   0.000     .1009329    .2780842
                 z_polint_scale |          0  (omitted)
                                |
   c.education#c.z_polint_scale |   .0715137   .0479361     1.49   0.136     -.022457    .1654844
                                |
                         income |   .0758306   .0498136     1.52   0.128    -.0218576    .1735187
                 z_polint_scale |          0  (omitted)
                                |
      c.income#c.z_polint_scale |   .0013091   .0515993     0.03   0.980    -.0998604    .1024785
                                |
                     sample_num |
                             4  |  -.2481259    .035686    -6.95   0.000    -.3180816   -.1781703
                             6  |   .0110735   .0346221     0.32   0.749    -.0567967    .0789436
                                |
                        state_1 |   .3779343   .3058389     1.24   0.217    -.2216058    .9774744
                        state_2 |   .0662024   .2534408     0.26   0.794    -.4306209    .5630257
                        state_3 |   .2661833   .2577104     1.03   0.302    -.2390098    .7713764
                        state_4 |   .0474771   .2448468     0.19   0.846    -.4324993    .5274535
                        state_5 |   .4057998   .2387116     1.70   0.089    -.0621496    .8737492
                        state_6 |   .2268389   .2488016     0.91   0.362    -.2608901    .7145678
                        state_7 |   .2683218   .2628833     1.02   0.307    -.2470118    .7836553
                        state_8 |   .8570801   .3037761     2.82   0.005     .2615839    1.452576
                        state_9 |    .314859   .2985023     1.05   0.292    -.2702989    .9000169
                       state_10 |   .2030589   .2390781     0.85   0.396     -.265609    .6717268
                       state_11 |   .1785734   .2437137     0.73   0.464    -.2991819    .6563286
                       state_12 |   .5045224   .2871725     1.76   0.079    -.0584257    1.067471
                       state_13 |   .3397591    .258881     1.31   0.189    -.1677288     .847247
                       state_14 |   .2508819   .2723332     0.92   0.357    -.2829764    .7847402
                       state_15 |   .2521257   .2432589     1.04   0.300     -.224738    .7289894
                       state_16 |   .1517376   .2484589     0.61   0.541    -.3353196    .6387949
                       state_17 |   .3424594   .2598841     1.32   0.188    -.1669948    .8519135
                       state_18 |   .3527874   .2550029     1.38   0.167    -.1470982    .8526729
                       state_19 |     -.1143   .2588979    -0.44   0.659     -.621821     .393221
                       state_20 |   .3589832   .2482092     1.45   0.148    -.1275845    .8455509
                       state_21 |   .4363668   .2487419     1.75   0.079    -.0512452    .9239788
                       state_22 |   .4052508   .2774493     1.46   0.144    -.1386367    .9491383
                       state_23 |   .2053606   .2435025     0.84   0.399    -.2719805    .6827018
                       state_24 |   .2789422   .2527677     1.10   0.270    -.2165616     .774446
                       state_25 |    .018769   .2472575     0.08   0.939    -.4659331     .503471
                       state_26 |  -.0872659    .271822    -0.32   0.748    -.6201223    .4455904
                       state_27 |  -.1525878   .2887856    -0.53   0.597     -.718698    .4135225
                       state_28 |   .1735341   .2448127     0.71   0.478    -.3063754    .6534437
                       state_29 |  -.0900954   .3391256    -0.27   0.791    -.7548878    .5746971
                       state_30 |   .1746065   .2721229     0.64   0.521    -.3588396    .7080527
                       state_31 |   .0161484   .2818658     0.06   0.954    -.5363969    .5686937
                       state_32 |    .182132   .2451154     0.74   0.457     -.298371    .6626349
                       state_33 |  -.2220674   .2741672    -0.81   0.418     -.759521    .3153861
                       state_34 |   .1046279   .2589746     0.40   0.686    -.4030434    .6122991
                       state_35 |   .5030053   .2397975     2.10   0.036     .0329271    .9730834
                       state_36 |   .2688825   .2430523     1.11   0.269    -.2075761     .745341
                       state_37 |   .2631319   .2631238     1.00   0.317    -.2526732     .778937
                       state_38 |   .2082499   .2540969     0.82   0.412    -.2898596    .7063595
                       state_39 |    .149214   .2405045     0.62   0.535    -.3222502    .6206781
                       state_40 |   .5645914   .3031306     1.86   0.063    -.0296395    1.158822
                       state_41 |   .2890548   .2534437     1.14   0.254    -.2077742    .7858838
                       state_42 |  -.1504529   .3005611    -0.50   0.617    -.7396467    .4387409
                       state_43 |   .1993992   .2489042     0.80   0.423     -.288531    .6873294
                       state_44 |   .1912904   .2395949     0.80   0.425    -.2783906    .6609714
                       state_45 |   .0381282   .2637285     0.14   0.885    -.4788622    .5551187
                       state_46 |   .1962492   .2461699     0.80   0.425    -.2863209    .6788192
                       state_47 |   .3083433    .305923     1.01   0.314    -.2913617    .9080482
                       state_48 |   .1636977   .2461373     0.67   0.506    -.3188086    .6462039
                       state_49 |   .1706871   .2475735     0.69   0.491    -.3146345    .6560087
                       state_50 |   .3459264   .2681393     1.29   0.197    -.1797105    .8715633
                       state_51 |          0  (omitted)
                          _cons |  -.0079531    .243789    -0.03   0.974    -.4858558    .4699497
-------------------------------------------------------------------------------------------------

. mi estimate: regress z_dv_restrictions c.z_auth_scale##c.z_polknow_scale c.age##c.z_polknow_scale i.male##c.z_polknow_scale i.race##c.z_polknow_scale c.education##c.z_polknow_scale c.income##c.z_polknow_scal
> e i.sample_num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      6,523
                                                Average RVI       =     0.0026
                                                Largest FMI       =     0.0815
                                                Complete DF       =       6453
DF adjustment:   Small sample                   DF:     min       =   2,262.08
                                                        avg       =   6,319.66
                                                        max       =   6,450.96
Model F test:       Equal FMI                   F(  69, 6450.8)   =      14.54
Within VCE type:          OLS                   Prob > F          =     0.0000

--------------------------------------------------------------------------------------------------
               z_dv_restrictions | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------------------------+----------------------------------------------------------------
                    z_auth_scale |  -.1564108   .0114816   -13.62   0.000    -.1789184   -.1339031
                 z_polknow_scale |   .1140122   .0515567     2.21   0.027     .0129439    .2150805
                                 |
c.z_auth_scale#c.z_polknow_scale |  -.1118005   .0112361    -9.95   0.000    -.1338269    -.089774
                                 |
                             age |   -.241831   .0608695    -3.97   0.000    -.3611556   -.1225063
                 z_polknow_scale |          0  (omitted)
                                 |
         c.age#c.z_polknow_scale |  -.1595063   .0581898    -2.74   0.006    -.2735781   -.0454345
                                 |
                          1.male |  -.1093931   .0241316    -4.53   0.000    -.1566991   -.0620871
                 z_polknow_scale |          0  (omitted)
                                 |
          male#c.z_polknow_scale |
                              1  |  -.1161054    .023727    -4.89   0.000    -.1626185   -.0695924
                                 |
                            race |
                              1  |  -.0572348   .0462928    -1.24   0.216    -.1479841    .0335145
                              2  |   .4439143   .0610915     7.27   0.000     .3241547    .5636739
                              3  |   .1105496    .059463     1.86   0.063    -.0060176    .2271169
                                 |
                 z_polknow_scale |          0  (omitted)
                                 |
          race#c.z_polknow_scale |
                              1  |  -.0547702   .0429257    -1.28   0.202    -.1389187    .0293784
                              2  |   .0781669   .0539145     1.45   0.147    -.0275234    .1838572
                              3  |  -.0216115   .0539694    -0.40   0.689    -.1274095    .0841865
                                 |
                       education |   .2310887   .0461737     5.00   0.000     .1405717    .3216058
                 z_polknow_scale |          0  (omitted)
                                 |
   c.education#c.z_polknow_scale |   .0276446   .0451763     0.61   0.541    -.0609173    .1162065
                                 |
                          income |   .1134943   .0505234     2.25   0.025     .0144172    .2125713
                 z_polknow_scale |          0  (omitted)
                                 |
      c.income#c.z_polknow_scale |  -.0874632   .0475058    -1.84   0.066    -.1806132    .0056868
                                 |
                      sample_num |
                              4  |  -.2664942   .0357579    -7.45   0.000    -.3365916   -.1963968
                              6  |   .0602282   .0342872     1.76   0.079     -.006986    .1274424
                                 |
                         state_1 |   .4251525   .3145857     1.35   0.177    -.1915399    1.041845
                         state_2 |   .1038444   .2540843     0.41   0.683    -.3942451    .6019338
                         state_3 |   .2455037    .258134     0.95   0.342    -.2605247     .751532
                         state_4 |   .0652914   .2447494     0.27   0.790    -.4144986    .5450814
                         state_5 |    .432769   .2381646     1.82   0.069    -.0341126    .8996506
                         state_6 |   .2602863   .2484489     1.05   0.295     -.226756    .7473285
                         state_7 |   .3023498   .2633266     1.15   0.251    -.2138578    .8185574
                         state_8 |   .8985747   .3029768     2.97   0.003     .3046397     1.49251
                         state_9 |    .359324   .2974751     1.21   0.227    -.2238258    .9424738
                        state_10 |   .2247275   .2384811     0.94   0.346    -.2427747    .6922296
                        state_11 |   .2393371   .2435014     0.98   0.326    -.2380065    .7166806
                        state_12 |   .6129467   .2879255     2.13   0.033     .0485173    1.177376
                        state_13 |   .3148158   .2583863     1.22   0.223     -.191707    .8213385
                        state_14 |   .3265079   .2738514     1.19   0.233    -.2103316    .8633475
                        state_15 |   .2435431    .242828     1.00   0.316    -.2324803    .7195664
                        state_16 |   .1526508   .2487249     0.61   0.539    -.3349325    .6402342
                        state_17 |   .3456667   .2597188     1.33   0.183    -.1634683    .8548017
                        state_18 |   .3913379   .2551311     1.53   0.125    -.1088037    .8914795
                        state_19 |  -.1186307   .2584678    -0.46   0.646    -.6253133     .388052
                        state_20 |   .4057908   .2481147     1.64   0.102    -.0805964     .892178
                        state_21 |   .4861268   .2487232     1.95   0.051    -.0014532    .9737068
                        state_22 |   .4154486   .2765672     1.50   0.133    -.1267149    .9576121
                        state_23 |   .2432495   .2433797     1.00   0.318    -.2338553    .7203544
                        state_24 |   .3282356   .2532876     1.30   0.195    -.1682921    .8247632
                        state_25 |   .0351761   .2472142     0.14   0.887    -.4494458     .519798
                        state_26 |  -.0583488   .2749897    -0.21   0.832    -.5974198    .4807222
                        state_27 |  -.1119987   .2879923    -0.39   0.697    -.6765591    .4525617
                        state_28 |   .2258808   .2445793     0.92   0.356    -.2535758    .7053375
                        state_29 |  -.1304041   .3381524    -0.39   0.700     -.793295    .5324868
                        state_30 |   .1705073   .2738164     0.62   0.533    -.3662636    .7072783
                        state_31 |  -.0002054   .2823221    -0.00   0.999    -.5536505    .5532396
                        state_32 |    .207688   .2448709     0.85   0.396    -.2723402    .6877162
                        state_33 |  -.1376928   .2751531    -0.50   0.617    -.6770842    .4016986
                        state_34 |   .1374527   .2588247     0.53   0.595    -.3699297     .644835
                        state_35 |   .5298263   .2392819     2.21   0.027     .0607544    .9988982
                        state_36 |   .3130137   .2425593     1.29   0.197    -.1624829    .7885104
                        state_37 |   .3179489   .2646347     1.20   0.230     -.200823    .8367207
                        state_38 |   .2564623   .2539235     1.01   0.313    -.2413121    .7542367
                        state_39 |   .1670847   .2399808     0.70   0.486    -.3033572    .6375266
                        state_40 |   .7027854   .3048928     2.31   0.021     .1050943    1.300476
                        state_41 |   .2930932   .2533976     1.16   0.247    -.2036502    .7898365
                        state_42 |  -.2164768   .2995859    -0.72   0.470    -.8037647    .3708111
                        state_43 |   .1640959   .2492835     0.66   0.510    -.3245824    .6527743
                        state_44 |   .2261858   .2390797     0.95   0.344    -.2424898    .6948614
                        state_45 |   .0206598    .265292     0.08   0.938    -.4994005    .5407201
                        state_46 |   .2078755   .2460849     0.84   0.398    -.2745325    .6902835
                        state_47 |   .3995934   .3111762     1.28   0.199    -.2104153    1.009602
                        state_48 |   .2034153   .2456723     0.83   0.408     -.278184    .6850146
                        state_49 |   .2340672   .2472269     0.95   0.344    -.2505796     .718714
                        state_50 |   .3444394   .2679332     1.29   0.199    -.1807987    .8696774
                        state_51 |          0  (omitted)
                           _cons |  -.1734335   .2436522    -0.71   0.477    -.6510728    .3042057
--------------------------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001j.tmp"

. 
. *Behaviors, Authoritarianism 
. mi estimate: regress z_dv_behavior c.z_auth_scale##c.z_polengage_scale c.age##c.z_polengage_scale i.male##c.z_polengage_scale i.race##c.z_polengage_scale c.education##c.z_polengage_scale c.income##c.z_poleng
> age_scale i.sample_num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      4,029
                                                Average RVI       =     0.0039
                                                Largest FMI       =     0.0520
                                                Complete DF       =       3957
DF adjustment:   Small sample                   DF:     min       =   2,642.01
                                                        avg       =   3,872.68
                                                        max       =   3,950.56
Model F test:       Equal FMI                   F(  71, 3954.8)   =      15.09
Within VCE type:          OLS                   Prob > F          =     0.0000

----------------------------------------------------------------------------------------------------
                     z_dv_behavior | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------------------------+----------------------------------------------------------------
                      z_auth_scale |  -.0576477   .0165139    -3.49   0.000    -.0900242   -.0252712
                 z_polengage_scale |   .3864377   .0756137     5.11   0.000     .2381921    .5346834
                                   |
c.z_auth_scale#c.z_polengage_scale |  -.0424742   .0184892    -2.30   0.022    -.0787235   -.0062249
                                   |
                               age |   .1155136   .0727411     1.59   0.112    -.0271068     .258134
                 z_polengage_scale |          0  (omitted)
                                   |
         c.age#c.z_polengage_scale |  -.5020798   .0824227    -6.09   0.000    -.6636983   -.3404613
                                   |
                            1.male |  -.1023574   .0311493    -3.29   0.001    -.1634279   -.0412869
                 z_polengage_scale |          0  (omitted)
                                   |
          male#c.z_polengage_scale |
                                1  |  -.0542797   .0359477    -1.51   0.131    -.1247645    .0162052
                                   |
                              race |
                                1  |  -.0668417   .0605278    -1.10   0.270    -.1855106    .0518273
                                2  |   .2349338   .0773709     3.04   0.002     .0832428    .3866247
                                3  |   .0747277   .0728616     1.03   0.305    -.0681224    .2175778
                                   |
                 z_polengage_scale |          0  (omitted)
                                   |
          race#c.z_polengage_scale |
                                1  |   .0291234   .0678318     0.43   0.668    -.1038654    .1621122
                                2  |  -.0462375   .0838001    -0.55   0.581    -.2105333    .1180582
                                3  |  -.1376946   .0796966    -1.73   0.084    -.2939452     .018556
                                   |
                         education |    .208561   .0631419     3.30   0.001      .084767    .3323551
                 z_polengage_scale |          0  (omitted)
                                   |
   c.education#c.z_polengage_scale |   -.032596   .0702086    -0.46   0.642    -.1702461     .105054
                                   |
                            income |   .2435561   .0569261     4.28   0.000     .1319472    .3551649
                 z_polengage_scale |          0  (omitted)
                                   |
      c.income#c.z_polengage_scale |  -.0665244   .0652303    -1.02   0.308     -.194432    .0613833
                                   |
                        sample_num |
                                3  |    .048649   .0535729     0.91   0.364    -.0563841    .1536821
                                4  |  -.6017862   .0489655   -12.29   0.000    -.6977863   -.5057861
                                5  |  -.0009078   .0618054    -0.01   0.988    -.1220812    .1202657
                                   |
                           state_1 |   .4672004   .5725728     0.82   0.415    -.6553664    1.589767
                           state_2 |   .0385901   .4725374     0.08   0.935    -.8878514    .9650317
                           state_3 |   .3951734    .479364     0.82   0.410     -.544652    1.334999
                           state_4 |   .2416234   .4660332     0.52   0.604    -.6720662    1.155313
                           state_5 |   .5311355   .4601383     1.15   0.248    -.3709968    1.433268
                           state_6 |   .0728327    .470494     0.15   0.877    -.8496028    .9952682
                           state_7 |   .4886751   .4828779     1.01   0.312    -.4580395     1.43539
                           state_8 |   .6443061    .503142     1.28   0.200    -.3421376     1.63075
                           state_9 |   .4724436   .5184566     0.91   0.362    -.5440251    1.488912
                          state_10 |   .3006833   .4608147     0.65   0.514    -.6027752    1.204142
                          state_11 |   .3092517   .4640053     0.67   0.505    -.6004622    1.218966
                          state_12 |   1.012442   .5051221     2.00   0.045     .0221163    2.002768
                          state_13 |  -.0564937   .4818785    -0.12   0.907    -1.001249    .8882616
                          state_14 |   .5653842   .5112226     1.11   0.269    -.4369019     1.56767
                          state_15 |   .2346657   .4643428     0.51   0.613      -.67571    1.145041
                          state_16 |   .1313283   .4692722     0.28   0.780    -.7887116    1.051368
                          state_17 |   .0842431   .4785124     0.18   0.860    -.8539131    1.022399
                          state_18 |   .3722839   .4730286     0.79   0.431    -.5551206    1.299688
                          state_19 |   .2069255   .4750642     0.44   0.663    -.7244701    1.138321
                          state_20 |   .4206067    .470293     0.89   0.371    -.5014345    1.342648
                          state_21 |   .3587354   .4699109     0.76   0.445    -.5625568    1.280028
                          state_22 |   .5406823   .5117848     1.06   0.291    -.4627064    1.544071
                          state_23 |   .2683612    .465172     0.58   0.564      -.64364    1.180362
                          state_24 |   .2213457   .4748123     0.47   0.641    -.7095559    1.152247
                          state_25 |   .1249969   .4687192     0.27   0.790    -.7939588    1.043953
                          state_26 |   .1898607   .4884717     0.39   0.698    -.7678211    1.147542
                          state_27 |  -.0859067   .5196044    -0.17   0.869    -1.104626    .9328125
                          state_28 |   .2811514   .4647976     0.60   0.545    -.6301158    1.192419
                          state_29 |  -.3533557   .5343945    -0.66   0.509    -1.401072    .6943603
                          state_30 |    .238275   .4962762     0.48   0.631    -.7347078    1.211258
                          state_31 |  -.2330601   .5115405    -0.46   0.649    -1.235969    .7698492
                          state_32 |   .4192718   .4656608     0.90   0.368    -.4936878    1.332231
                          state_33 |    .294952    .515469     0.57   0.567      -.71566    1.305564
                          state_34 |   .2937248   .4763228     0.62   0.538    -.6401384    1.227588
                          state_35 |    .522889   .4605648     1.14   0.256    -.3800798    1.425858
                          state_36 |   .2436102   .4638992     0.53   0.600    -.6658955    1.153116
                          state_37 |   .1429969   .4761769     0.30   0.764    -.7905803    1.076574
                          state_38 |   .4470207   .4744086     0.94   0.346    -.4830895    1.377131
                          state_39 |   .2609223    .462572     0.56   0.573    -.6459815    1.167826
                          state_40 |   .2049628   .5188692     0.40   0.693    -.8123148     1.22224
                          state_41 |   .2964882   .4715375     0.63   0.530     -.627993    1.220969
                          state_42 |  -.9742296   .6136152    -1.59   0.112    -2.177263    .2288034
                          state_43 |   .0704516   .4707104     0.15   0.881    -.8524078    .9933111
                          state_44 |   .2917411   .4606443     0.63   0.527    -.6113834    1.194866
                          state_45 |   .1466699   .4870509     0.30   0.763    -.8082261    1.101566
                          state_46 |   .2852238   .4674943     0.61   0.542    -.6313303    1.201778
                          state_47 |   .2040608   .5414816     0.38   0.706    -.8575498    1.265671
                          state_48 |    .373178   .4691891     0.80   0.426     -.546699    1.293055
                          state_49 |   .2786731   .4729736     0.59   0.556    -.6486237     1.20597
                          state_50 |   .3595938   .4873386     0.74   0.461    -.5958662    1.315054
                          state_51 |   -.121765     .54107    -0.23   0.822    -1.182569    .9390386
                             _cons |  -.1760352   .4650702    -0.38   0.705    -1.087837    .7357668
----------------------------------------------------------------------------------------------------

. mi estimate: regress z_dv_behavior c.z_auth_scale##c.z_polint_scale c.age##c.z_polint_scale i.male##c.z_polint_scale i.race##c.z_polint_scale c.education##c.z_polint_scale c.income##c.z_polint_scale i.sample
> _num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      3,960
                                                Average RVI       =     0.0034
                                                Largest FMI       =     0.0390
                                                Complete DF       =       3888
DF adjustment:   Small sample                   DF:     min       =   3,023.07
                                                        avg       =   3,743.92
                                                        max       =   3,882.33
Model F test:       Equal FMI                   F(  71, 3885.9)   =      14.92
Within VCE type:          OLS                   Prob > F          =     0.0000

-------------------------------------------------------------------------------------------------
                  z_dv_behavior | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------------------------+----------------------------------------------------------------
                   z_auth_scale |  -.0570737   .0169037    -3.38   0.001    -.0902147   -.0239328
                 z_polint_scale |   .2324756    .069547     3.34   0.001      .096123    .3688281
                                |
c.z_auth_scale#c.z_polint_scale |  -.0168448   .0167985    -1.00   0.316    -.0497795      .01609
                                |
                            age |   .1301866   .0718114     1.81   0.070    -.0106104    .2709835
                 z_polint_scale |          0  (omitted)
                                |
         c.age#c.z_polint_scale |  -.4436205   .0737182    -6.02   0.000    -.5881635   -.2990776
                                |
                         1.male |  -.1078519   .0322897    -3.34   0.001    -.1711585   -.0445453
                 z_polint_scale |          0  (omitted)
                                |
          male#c.z_polint_scale |
                             1  |  -.0166976   .0335699    -0.50   0.619    -.0825192     .049124
                                |
                           race |
                             1  |  -.0530355   .0637619    -0.83   0.406    -.1780457    .0719746
                             2  |   .2408821   .0790674     3.05   0.002     .0858644    .3958999
                             3  |    .093228   .0754714     1.24   0.217    -.0547394    .2411955
                                |
                 z_polint_scale |          0  (omitted)
                                |
          race#c.z_polint_scale |
                             1  |   .0874733   .0612893     1.43   0.154    -.0326893    .2076358
                             2  |   .0558833    .077928     0.72   0.473    -.0969006    .2086672
                             3  |  -.0412306   .0726095    -0.57   0.570    -.1835877    .1011264
                                |
                      education |   .2382853   .0651626     3.66   0.000     .1105288    .3660418
                 z_polint_scale |          0  (omitted)
                                |
   c.education#c.z_polint_scale |   .0280859   .0643155     0.44   0.662    -.0980099    .1541817
                                |
                         income |   .2348618   .0588735     3.99   0.000     .1194349    .3502886
                 z_polint_scale |          0  (omitted)
                                |
      c.income#c.z_polint_scale |  -.0016042   .0607897    -0.03   0.979     -.120796    .1175876
                                |
                     sample_num |
                             3  |   .0286464   .0550122     0.52   0.603    -.0792091     .136502
                             4  |  -.6299245    .050375   -12.50   0.000    -.7286885   -.5311605
                             5  |   .0233761   .0637306     0.37   0.714    -.1015726    .1483248
                                |
                        state_1 |   .7614465   .7351313     1.04   0.300    -.6798445    2.202738
                        state_2 |   .3393437   .6598298     0.51   0.607    -.9543165    1.633004
                        state_3 |   .7009634   .6646427     1.05   0.292    -.6021325    2.004059
                        state_4 |   .5380571   .6548652     0.82   0.411    -.7458695    1.821984
                        state_5 |   .8197102    .650951     1.26   0.208    -.4565435    2.095964
                        state_6 |   .3634137   .6581918     0.55   0.581    -.9270358    1.653863
                        state_7 |   .7998001   .6675941     1.20   0.231    -.5090826    2.108683
                        state_8 |   .9123569   .6822823     1.34   0.181    -.4253225    2.250036
                        state_9 |    .777319   .6933302     1.12   0.262    -.5820197    2.136658
                       state_10 |   .5821476   .6513454     0.89   0.372    -.6948793    1.859174
                       state_11 |   .5877437    .653805     0.90   0.369    -.6941049    1.869592
                       state_12 |   1.338078    .683382     1.96   0.050    -.0017565    2.677912
                       state_13 |   .2285448   .6664161     0.34   0.732    -1.078028    1.535118
                       state_14 |   .8674774   .6905361     1.26   0.209    -.4863835    2.221338
                       state_15 |   .5225316   .6539718     0.80   0.424    -.7596449    1.804708
                       state_16 |   .4551086   .6575717     0.69   0.489    -.8341248    1.744342
                       state_17 |   .4803148   .6642622     0.72   0.470    -.8220361    1.782666
                       state_18 |   .6704598   .6598655     1.02   0.310    -.6232705     1.96419
                       state_19 |   .5255199   .6618155     0.79   0.427     -.772034    1.823074
                       state_20 |   .7300268   .6580924     1.11   0.267    -.5602276    2.020281
                       state_21 |   .6625254   .6580352     1.01   0.314    -.6276172    1.952668
                       state_22 |   .8480371   .6884438     1.23   0.218    -.5017233    2.197797
                       state_23 |    .589522   .6547483     0.90   0.368    -.6941758     1.87322
                       state_24 |   .5166663   .6614434     0.78   0.435    -.7801573     1.81349
                       state_25 |   .4582116   .6570578     0.70   0.486     -.830014    1.746437
                       state_26 |   .4400363   .6731865     0.65   0.513    -.8798104    1.759883
                       state_27 |   .2200012   .6940034     0.32   0.751    -1.140657     1.58066
                       state_28 |    .571564   .6542864     0.87   0.382    -.7112282    1.854356
                       state_29 |  -.0189855    .705206    -0.03   0.979    -1.401607    1.363636
                       state_30 |   .5481379   .6767706     0.81   0.418    -.7787355    1.875011
                       state_31 |   .0828574   .6881929     0.12   0.904     -1.26641    1.432124
                       state_32 |    .704825   .6549659     1.08   0.282    -.5792998     1.98895
                       state_33 |   .5968339   .6909658     0.86   0.388    -.7578715    1.951539
                       state_34 |   .5774472   .6624881     0.87   0.383    -.7214257     1.87632
                       state_35 |   .8165321   .6511427     1.25   0.210    -.4600972    2.093161
                       state_36 |   .5399447   .6535484     0.83   0.409    -.7414007     1.82129
                       state_37 |   .4440527   .6624318     0.67   0.503    -.8547098    1.742815
                       state_38 |   .7446304   .6608454     1.13   0.260    -.5510212    2.040282
                       state_39 |   .5884302   .6525874     0.90   0.367    -.6910313    1.867892
                       state_40 |   .4777782    .693442     0.69   0.491    -.8817795    1.837336
                       state_41 |    .577704   .6591983     0.88   0.381    -.7147181    1.870126
                       state_42 |   -.510081   .7676235    -0.66   0.506    -2.015074    .9949122
                       state_43 |   .3765024   .6583348     0.57   0.567    -.9142267    1.667231
                       state_44 |   .5884223   .6512302     0.90   0.366    -.6883786    1.865223
                       state_45 |   .4387797   .6700187     0.65   0.513    -.8748562    1.752416
                       state_46 |   .5916554   .6564611     0.90   0.367       -.6954    1.878711
                       state_47 |   .5008802    .710642     0.70   0.481    -.8923989    1.894159
                       state_48 |   .6955971   .6574385     1.06   0.290    -.5933759     1.98457
                       state_49 |   .6241509   .6603475     0.95   0.345    -.6705245    1.918826
                       state_50 |   .6541021   .6709418     0.97   0.330    -.6613438    1.969548
                       state_51 |   .1738311   .7103483     0.24   0.807    -1.218872    1.566534
                          _cons |  -.4901498   .6540871    -0.75   0.454    -1.772552     .792252
-------------------------------------------------------------------------------------------------

. mi estimate: regress z_dv_behavior c.z_auth_scale##c.z_polknow_scale c.age##c.z_polknow_scale i.male##c.z_polknow_scale i.race##c.z_polknow_scale c.education##c.z_polknow_scale c.income##c.z_polknow_scale i.
> sample_num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      3,944
                                                Average RVI       =     0.0020
                                                Largest FMI       =     0.0200
                                                Complete DF       =       3872
DF adjustment:   Small sample                   DF:     min       =   3,567.16
                                                        avg       =   3,839.76
                                                        max       =   3,866.97
Model F test:       Equal FMI                   F(  71, 3870.0)   =      14.29
Within VCE type:          OLS                   Prob > F          =     0.0000

--------------------------------------------------------------------------------------------------
                   z_dv_behavior | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------------------------+----------------------------------------------------------------
                    z_auth_scale |  -.0669949   .0167561    -4.00   0.000    -.0998466   -.0341433
                 z_polknow_scale |   .3298251    .062563     5.27   0.000     .2071654    .4524848
                                 |
c.z_auth_scale#c.z_polknow_scale |    -.04485   .0159745    -2.81   0.005    -.0761692   -.0135308
                                 |
                             age |   .2310387   .0738966     3.13   0.002     .0861561    .3759213
                 z_polknow_scale |          0  (omitted)
                                 |
         c.age#c.z_polknow_scale |  -.3401839   .0715966    -4.75   0.000    -.4805582   -.1998095
                                 |
                          1.male |  -.0857843     .03144    -2.73   0.006    -.1474251   -.0241436
                 z_polknow_scale |          0  (omitted)
                                 |
          male#c.z_polknow_scale |
                              1  |  -.0626309   .0299222    -2.09   0.036    -.1212965   -.0039654
                                 |
                            race |
                              1  |  -.0760622   .0600543    -1.27   0.205    -.1938035     .041679
                              2  |   .2165782   .0790878     2.74   0.006     .0615201    .3716364
                              3  |   .0670058   .0733875     0.91   0.361    -.0768763    .2108879
                                 |
                 z_polknow_scale |          0  (omitted)
                                 |
          race#c.z_polknow_scale |
                              1  |  -.0266439   .0551218    -0.48   0.629    -.1347145    .0814267
                              2  |  -.1137276   .0678778    -1.68   0.094    -.2468074    .0193522
                              3  |  -.1658423   .0655505    -2.53   0.011    -.2943593   -.0373254
                                 |
                       education |   .2328591   .0638263     3.65   0.000     .1077225    .3579957
                 z_polknow_scale |          0  (omitted)
                                 |
   c.education#c.z_polknow_scale |  -.0601268   .0602161    -1.00   0.318    -.1781858    .0579322
                                 |
                          income |    .261727    .057519     4.55   0.000     .1489556    .3744983
                 z_polknow_scale |          0  (omitted)
                                 |
      c.income#c.z_polknow_scale |  -.1006384   .0533882    -1.89   0.060    -.2053126    .0040358
                                 |
                      sample_num |
                              3  |   .0493368   .0551733     0.89   0.371    -.0588346    .1575083
                              4  |  -.6102216   .0506089   -12.06   0.000    -.7094444   -.5109988
                              5  |   .0122459   .0642838     0.19   0.849    -.1137874    .1382793
                                 |
                         state_1 |   .4128932   .5752356     0.72   0.473    -.7149015    1.540688
                         state_2 |  -.0303487   .4747678    -0.06   0.949    -.9611689    .9004715
                         state_3 |   .3418679   .4816727     0.71   0.478    -.6024898    1.286226
                         state_4 |   .2015338   .4685315     0.43   0.667    -.7170596    1.120127
                         state_5 |   .5038944   .4624014     1.09   0.276    -.4026806    1.410469
                         state_6 |   .0330426   .4727617     0.07   0.944    -.8938445    .9599297
                         state_7 |   .4822728   .4851037     0.99   0.320    -.4688115    1.433357
                         state_8 |   .6436392   .5055961     1.27   0.203    -.3476221    1.634901
                         state_9 |   .4222557   .5207415     0.81   0.417    -.5986993    1.443211
                        state_10 |   .2621777    .463143     0.57   0.571    -.6458513    1.170207
                        state_11 |   .2841602   .4665548     0.61   0.543    -.6305578    1.198878
                        state_12 |   .9361191   .5074497     1.84   0.065    -.0587764    1.931015
                        state_13 |  -.1285801   .4848948    -0.27   0.791    -1.079255    .8220948
                        state_14 |   .5662389   .5136684     1.10   0.270    -.4408486    1.573327
                        state_15 |   .1696151   .4668693     0.36   0.716    -.7457195     1.08495
                        state_16 |    .089958   .4721599     0.19   0.849    -.8357491    1.015665
                        state_17 |    .040531   .4808615     0.08   0.933    -.9022364    .9832984
                        state_18 |    .361389   .4760641     0.76   0.448    -.5719727    1.294751
                        state_19 |   .1322932   .4773348     0.28   0.782    -.8035599    1.068146
                        state_20 |   .3780392   .4727417     0.80   0.424    -.5488086    1.304887
                        state_21 |   .2881353   .4725446     0.61   0.542     -.638326    1.214597
                        state_22 |   .5068083   .5141602     0.99   0.324    -.5012436     1.51486
                        state_23 |   .2365075   .4676825     0.51   0.613    -.6804214    1.153436
                        state_24 |   .1669168   .4770656     0.35   0.726    -.7684084    1.102242
                        state_25 |   .0774752   .4711776     0.16   0.869    -.8463062    1.001256
                        state_26 |   .1624523   .4905669     0.33   0.741    -.7993432    1.124248
                        state_27 |  -.1542419   .5221314    -0.30   0.768    -1.177922    .8694384
                        state_28 |   .2659125   .4673096     0.57   0.569    -.6502854     1.18211
                        state_29 |   -.443247   .5370374    -0.83   0.409    -1.496151    .6096573
                        state_30 |   .1984778    .498698     0.40   0.691    -.7792592    1.176215
                        state_31 |  -.3066298   .5175239    -0.59   0.554    -1.321276    .7080167
                        state_32 |     .39703   .4680348     0.85   0.396    -.5205895     1.31465
                        state_33 |   .2784584   .5178797     0.54   0.591    -.7368862    1.293803
                        state_34 |   .2599675   .4789876     0.54   0.587     -.679126    1.199061
                        state_35 |   .4770549   .4627729     1.03   0.303    -.4302484    1.384358
                        state_36 |   .1983222     .46629     0.43   0.671    -.7158767    1.112521
                        state_37 |    .057485   .4792469     0.12   0.905    -.8821168    .9970869
                        state_38 |   .4052715   .4767131     0.85   0.395    -.5293626    1.339906
                        state_39 |   .2160839   .4648405     0.46   0.642    -.6952731    1.127441
                        state_40 |   .1827781   .5213879     0.35   0.726    -.8394443    1.205001
                        state_41 |   .2543161   .4740822     0.54   0.592      -.67516    1.183792
                        state_42 |  -1.155093   .6161043    -1.87   0.061    -2.363014    .0528278
                        state_43 |   .0725087   .4731823     0.15   0.878     -.855203     1.00022
                        state_44 |   .2600044   .4629093     0.56   0.574    -.6475664    1.167575
                        state_45 |   .0957692    .490391     0.20   0.845    -.8656813     1.05722
                        state_46 |   .2351925   .4699599     0.50   0.617    -.6862013    1.156586
                        state_47 |   .1563857   .5441249     0.29   0.774     -.910414    1.223185
                        state_48 |   .3393791   .4715474     0.72   0.472     -.585127    1.263885
                        state_49 |   .2014209   .4758666     0.42   0.672    -.7315536    1.134395
                        state_50 |   .2726057   .4906459     0.56   0.579    -.6893445    1.234556
                        state_51 |  -.2104229   .5436223    -0.39   0.699    -1.276237    .8553916
                           _cons |  -.2146096   .4673236    -0.46   0.646    -1.130835    .7016159
--------------------------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001k.tmp"

. 
. *Behaviors, Latent NSC 2
. mi estimate: regress z_dv_behavior c.z_latentnsc2##c.z_polengage_scale c.age##c.z_polengage_scale i.male##c.z_polengage_scale i.race##c.z_polengage_scale c.education##c.z_polengage_scale c.income##c.z_poleng
> age_scale i.sample_num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        970
                                                Average RVI       =     0.0029
                                                Largest FMI       =     0.0196
                                                Complete DF       =        900
DF adjustment:   Small sample                   DF:     min       =     868.27
                                                        avg       =     891.32
                                                        max       =     897.35
Model F test:       Equal FMI                   F(  69,  898.0)   =       1.88
Within VCE type:          OLS                   Prob > F          =     0.0000

----------------------------------------------------------------------------------------------------
                     z_dv_behavior | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------------------------+----------------------------------------------------------------
                      z_latentnsc2 |  -.0647817   .0264752    -2.45   0.015    -.1167422   -.0128212
                 z_polengage_scale |   .1517744   .1861191     0.82   0.415    -.2135094    .5170583
                                   |
c.z_latentnsc2#c.z_polengage_scale |  -.0507685   .0378615    -1.34   0.180    -.1250759    .0235388
                                   |
                               age |  -.0989897   .1403572    -0.71   0.481    -.3744592    .1764797
                 z_polengage_scale |          0  (omitted)
                                   |
         c.age#c.z_polengage_scale |  -.2126967   .1885251    -1.13   0.260    -.5826994     .157306
                                   |
                            1.male |  -.2371273   .0589591    -4.02   0.000    -.3528416   -.1214129
                 z_polengage_scale |          0  (omitted)
                                   |
          male#c.z_polengage_scale |
                                1  |   .0236635   .0813785     0.29   0.771    -.1360513    .1833782
                                   |
                              race |
                                1  |  -.1568981   .1201412    -1.31   0.192    -.3926959    .0788998
                                2  |  -.0138776   .1495351    -0.09   0.926    -.3073692    .2796139
                                3  |  -.0851606   .1451326    -0.59   0.558    -.3700112      .19969
                                   |
                 z_polengage_scale |          0  (omitted)
                                   |
          race#c.z_polengage_scale |
                                1  |  -6.62e-06   .1627319    -0.00   1.000    -.3193916    .3193784
                                2  |   .1461281    .212016     0.69   0.491    -.2699863    .5622424
                                3  |   .0781341   .2004711     0.39   0.697    -.3153218    .4715901
                                   |
                         education |   .1860651   .1327272     1.40   0.161    -.0744345    .4465648
                 z_polengage_scale |          0  (omitted)
                                   |
   c.education#c.z_polengage_scale |   .0733273   .1776906     0.41   0.680    -.2754149    .4220696
                                   |
                            income |   .3540247   .1120781     3.16   0.002     .1340509    .5739985
                 z_polengage_scale |          0  (omitted)
                                   |
      c.income#c.z_polengage_scale |  -.0233893   .1386457    -0.17   0.866    -.2955091    .2487305
                                   |
                      5.sample_num |  -.0775401   .0667156    -1.16   0.245    -.2084776    .0533974
                           state_1 |    .215973    .937571     0.23   0.818    -1.624115    2.056061
                           state_2 |   .5248211   .5000572     1.05   0.294     -.456602    1.506244
                           state_3 |   .3888075   .5419799     0.72   0.473    -.6748933    1.452508
                           state_4 |   .2190524   .4596003     0.48   0.634    -.6829709    1.121076
                           state_5 |    .376499   .4326266     0.87   0.384    -.4725857    1.225584
                           state_6 |  -.3743769   .4987038    -0.75   0.453    -1.353144    .6043904
                           state_7 |   .1096511   .5466608     0.20   0.841    -.9632371    1.182539
                           state_8 |   .5027577   .6485632     0.78   0.438    -.7701262    1.775642
                           state_9 |   .4837257   .5637389     0.86   0.391    -.6226786     1.59013
                          state_10 |   .0828438   .4339865     0.19   0.849    -.7689098    .9345975
                          state_11 |   .3915353   .4437197     0.88   0.378    -.4793205    1.262391
                          state_12 |   .2338267   .7330643     0.32   0.750    -1.204896    1.672549
                          state_13 |   .0257194     .46621     0.06   0.956    -.8892754    .9407142
                          state_14 |   .2789347   .5416142     0.52   0.607    -.7840483    1.341918
                          state_15 |   .2344579   .4407132     0.53   0.595    -.6304984    1.099414
                          state_16 |  -.0033192   .4594813    -0.01   0.994    -.9051089    .8984704
                          state_17 |   .1207815   .4757661     0.25   0.800     -.812968    1.054531
                          state_18 |  -.0364335   .4751396    -0.08   0.939    -.9689536    .8960866
                          state_19 |   .2798123   .5075367     0.55   0.582    -.7162911    1.275916
                          state_20 |  -.3058305   .4812376    -0.64   0.525    -1.250318    .6386575
                          state_21 |   .5670037   .4626361     1.23   0.221    -.3409777    1.474985
                          state_22 |    .711916    .643283     1.11   0.269    -.5506117    1.974444
                          state_23 |    .167251   .4441385     0.38   0.707    -.7044266    1.038929
                          state_24 |  -.0696477   .4837344    -0.14   0.886    -1.019036    .8797407
                          state_25 |   .1656396   .4717249     0.35   0.726    -.7601792    1.091459
                          state_26 |   .2997561   .4873395     0.62   0.539    -.6567085    1.256221
                          state_27 |   .9250897   .9352027     0.99   0.323    -.9103508     2.76053
                          state_28 |   .2513625   .4444336     0.57   0.572    -.6208945     1.12362
                          state_29 |   .6973105    .942054     0.74   0.459    -1.151576    2.546197
                          state_30 |   .8660237   .6399159     1.35   0.176    -.3898857    2.121933
                          state_31 |   .6592459   .5948893     1.11   0.268    -.5082948    1.826787
                          state_32 |   .3222844   .4493501     0.72   0.473    -.5596212     1.20419
                          state_33 |   .7419356   .6421935     1.16   0.248    -.5184436    2.002315
                          state_34 |   -.390083   .4865509    -0.80   0.423       -1.345    .5648337
                          state_35 |   .4069123   .4346587     0.94   0.349    -.4461606    1.259985
                          state_36 |   .3745516   .4425934     0.85   0.398     -.494094    1.243197
                          state_37 |   .3816709   .4779271     0.80   0.425    -.5563202    1.319662
                          state_38 |   .3611407   .4790234     0.75   0.451    -.5790033    1.301285
                          state_39 |   .1694665   .4404935     0.38   0.701    -.6950575    1.033991
                          state_40 |  -.0159431   .5976034    -0.03   0.979     -1.18881    1.156924
                          state_41 |   .2486687   .4735955     0.53   0.600    -.6808214    1.178159
                          state_42 |   1.229908   .9349055     1.32   0.189    -.6049493    3.064764
                          state_43 |  -.1507282   .4819021    -0.31   0.755     -1.09652    .7950638
                          state_44 |   .1366241   .4333477     0.32   0.753    -.7138764    .9871246
                          state_45 |   .2678793   .5062261     0.53   0.597    -.7256512     1.26141
                          state_46 |   .4120684   .4588593     0.90   0.369    -.4885004    1.312637
                          state_47 |   .6496224   .9367593     0.69   0.488    -1.188873    2.488118
                          state_48 |    .273555   .4555728     0.60   0.548     -.620564    1.167674
                          state_49 |   .3534679   .4747633     0.74   0.457    -.5783141     1.28525
                          state_50 |   .3777376   .5008536     0.75   0.451    -.6052483    1.360724
                          state_51 |   .2790722   .6421339     0.43   0.664    -.9811899    1.539334
                             _cons |   .1394267   .4498639     0.31   0.757    -.7434936    1.022347
----------------------------------------------------------------------------------------------------

. mi estimate: regress z_dv_behavior c.z_latentnsc2##c.z_polint_scale c.age##c.z_polint_scale i.male##c.z_polint_scale i.race##c.z_polint_scale c.education##c.z_polint_scale c.income##c.z_polint_scale i.sample
> _num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        902
                                                Average RVI       =     0.0034
                                                Largest FMI       =     0.0342
                                                Complete DF       =        832
DF adjustment:   Small sample                   DF:     min       =     772.00
                                                        avg       =     817.16
                                                        max       =     829.54
Model F test:       Equal FMI                   F(  69,  830.0)   =       1.94
Within VCE type:          OLS                   Prob > F          =     0.0000

-------------------------------------------------------------------------------------------------
                  z_dv_behavior | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------------------------+----------------------------------------------------------------
                   z_latentnsc2 |  -.0805228   .0252079    -3.19   0.001    -.1300017    -.031044
                 z_polint_scale |   .2837845   .1767185     1.61   0.109    -.0630976    .6306665
                                |
c.z_latentnsc2#c.z_polint_scale |  -.0445194   .0353717    -1.26   0.209    -.1139479    .0249091
                                |
                            age |  -.0754867    .135355    -0.56   0.577    -.3411678    .1901943
                 z_polint_scale |          0  (omitted)
                                |
         c.age#c.z_polint_scale |  -.0389944   .1862115    -0.21   0.834    -.4044973    .3265085
                                |
                         1.male |  -.2556533   .0593292    -4.31   0.000     -.372107   -.1391996
                 z_polint_scale |          0  (omitted)
                                |
          male#c.z_polint_scale |
                             1  |  -.0724364   .0806364    -0.90   0.369    -.2307119    .0858392
                                |
                           race |
                             1  |  -.1973149   .1310563    -1.51   0.133    -.4545654    .0599355
                             2  |  -.0800969   .1621068    -0.49   0.621     -.398297    .2381032
                             3  |  -.1386211    .158414    -0.88   0.382      -.44957    .1723278
                                |
                 z_polint_scale |          0  (omitted)
                                |
          race#c.z_polint_scale |
                             1  |  -.1010318   .1569847    -0.64   0.520     -.409186    .2071224
                             2  |  -.0154433   .2078037    -0.07   0.941    -.4233539    .3924672
                             3  |  -.0008342   .1875907    -0.00   0.996    -.3690826    .3674142
                                |
                      education |   .2052345   .1379554     1.49   0.137    -.0655575    .4760264
                 z_polint_scale |          0  (omitted)
                                |
   c.education#c.z_polint_scale |   .0446314    .171169     0.26   0.794    -.2913468    .3806095
                                |
                         income |   .3560027   .1150004     3.10   0.002     .1302727    .5817327
                 z_polint_scale |          0  (omitted)
                                |
      c.income#c.z_polint_scale |  -.1486847   .1369782    -1.09   0.278    -.4175601    .1201906
                                |
                   5.sample_num |  -.0848844   .0680554    -1.25   0.213    -.2184661    .0486974
                        state_1 |   .4304763   1.013677     0.42   0.671     -1.55921    2.420163
                        state_2 |   .7256597   .6499654     1.12   0.265    -.5501361    2.001455
                        state_3 |   .6641783   .6790485     0.98   0.328    -.6687008    1.997057
                        state_4 |   .4422541   .6143677     0.72   0.472     -.763673    1.648181
                        state_5 |   .5975633   .5959949     1.00   0.316    -.5723021    1.767429
                        state_6 |  -.1371718   .6441095    -0.21   0.831    -1.401475    1.127131
                        state_7 |   .3616367   .6972958     0.52   0.604    -1.007058    1.730332
                        state_8 |   .8454267   .7623229     1.11   0.268     -.650908    2.341761
                        state_9 |   .7195701    .694182     1.04   0.300     -.643013    2.082153
                       state_10 |   .3199598   .5965052     0.54   0.592    -.8509073    1.490827
                       state_11 |    .669714   .6051154     1.11   0.269    -.5180532    1.857481
                       state_12 |   .4715552   .8332234     0.57   0.572    -1.163937    2.107048
                       state_13 |   .2605328   .6194022     0.42   0.674     -.955275    1.476341
                       state_14 |   .5215823   .6938337     0.75   0.452    -.8403185    1.883483
                       state_15 |   .4661283   .6015608     0.77   0.439    -.7146626    1.646919
                       state_16 |   .3296255    .618055     0.53   0.594    -.8835387     1.54279
                       state_17 |   .6018589   .6295398     0.96   0.339    -.6338461    1.837564
                       state_18 |   .1963069   .6260343     0.31   0.754    -1.032519    1.425132
                       state_19 |    .607361   .6562187     0.93   0.355    -.6807079     1.89543
                       state_20 |  -.0255502     .63093    -0.04   0.968    -1.263985    1.212884
                       state_21 |   .7917315   .6192717     1.28   0.201    -.4238213    2.007284
                       state_22 |   .9622326   .7586218     1.27   0.205    -.5268422    2.451307
                       state_23 |   .4495258   .6069943     0.74   0.459    -.7419275    1.640979
                       state_24 |   .2521851   .6366129     0.40   0.692    -.9974021    1.501772
                       state_25 |   .5905602   .6277944     0.94   0.347    -.6417209    1.822841
                       state_26 |   .4154676   .6446626     0.64   0.519     -.849924    1.680859
                       state_27 |   1.099852   1.012631     1.09   0.278    -.8877814    3.087485
                       state_28 |   .5280237   .6047463     0.87   0.383    -.6590184    1.715066
                       state_29 |   .8519852   1.016371     0.84   0.402    -1.142989     2.84696
                       state_30 |   1.124767   .7551837     1.49   0.137    -.3575493    2.607082
                       state_31 |   .9276783   .7191275     1.29   0.197    -.4838678    2.339224
                       state_32 |   .5379952   .6090022     0.88   0.377    -.6574005    1.733391
                       state_33 |   .9577225   .7568589     1.27   0.206    -.5278794    2.443325
                       state_34 |  -.1042511   .6345929    -0.16   0.870    -1.349875    1.141373
                       state_35 |   .6786125   .5963881     1.14   0.256    -.4920243    1.849249
                       state_36 |   .6580025   .6035058     1.09   0.276    -.5266053     1.84261
                       state_37 |   .6603339   .6280452     1.05   0.293    -.5724383    1.893106
                       state_38 |   .5807483   .6285521     0.92   0.356    -.6530214    1.814518
                       state_39 |    .509758   .6015465     0.85   0.397    -.6710036     1.69052
                       state_40 |   .2276092   .7204342     0.32   0.752    -1.186501     1.64172
                       state_41 |   .4784846   .6278824     0.76   0.446    -.7539693    1.710938
                       state_42 |    1.56727   1.010967     1.55   0.121     -.417096    3.551636
                       state_43 |   .0468469   .6304561     0.07   0.941    -1.190656     1.28435
                       state_44 |   .4106253   .5957659     0.69   0.491    -.7587909    1.580041
                       state_45 |   .5215138   .6491805     0.80   0.422     -.752741    1.795768
                       state_46 |   .6985573   .6201453     1.13   0.260    -.5187109    1.915826
                       state_47 |   .8233006    1.01294     0.81   0.417    -1.164939     2.81154
                       state_48 |   .5777754   .6132022     0.94   0.346    -.6258639    1.781415
                       state_49 |   .7546799   .6310944     1.20   0.232    -.4840775    1.993437
                       state_50 |   .5403727   .6513108     0.83   0.407    -.7380612    1.818807
                       state_51 |   .5109264   .7570956     0.67   0.500    -.9751415    1.996994
                          _cons |  -.0556872   .6112041    -0.09   0.927    -1.255417    1.144043
-------------------------------------------------------------------------------------------------

. mi estimate: regress z_dv_behavior c.z_latentnsc2##c.z_polknow_scale c.age##c.z_polknow_scale i.male##c.z_polknow_scale i.race##c.z_polknow_scale c.education##c.z_polknow_scale c.income##c.z_polknow_scale i.
> sample_num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        906
                                                Average RVI       =     0.0031
                                                Largest FMI       =     0.0210
                                                Complete DF       =        836
DF adjustment:   Small sample                   DF:     min       =     804.64
                                                        avg       =     827.34
                                                        max       =     833.35
Model F test:       Equal FMI                   F(  69,  834.0)   =       1.84
Within VCE type:          OLS                   Prob > F          =     0.0001

--------------------------------------------------------------------------------------------------
                   z_dv_behavior | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------------------------+----------------------------------------------------------------
                    z_latentnsc2 |  -.0799281   .0279101    -2.86   0.004    -.1347105   -.0251457
                 z_polknow_scale |  -.1059172   .1548072    -0.68   0.494    -.4097789    .1979444
                                 |
c.z_latentnsc2#c.z_polknow_scale |   -.005193   .0323466    -0.16   0.872    -.0686834    .0582974
                                 |
                             age |   .0185532   .1461612     0.13   0.899    -.2683374    .3054437
                 z_polknow_scale |          0  (omitted)
                                 |
         c.age#c.z_polknow_scale |  -.2800287   .1572329    -1.78   0.075    -.5886508    .0285935
                                 |
                          1.male |  -.2605151   .0626387    -4.16   0.000     -.383464   -.1375661
                 z_polknow_scale |          0  (omitted)
                                 |
          male#c.z_polknow_scale |
                              1  |   .1031411   .0683088     1.51   0.131    -.0309372    .2372194
                                 |
                            race |
                              1  |  -.1765441    .123033    -1.43   0.152     -.418041    .0649529
                              2  |   -.001084   .1557302    -0.01   0.994    -.3067671    .3045991
                              3  |  -.0656736   .1497076    -0.44   0.661    -.3595326    .2281853
                                 |
                 z_polknow_scale |          0  (omitted)
                                 |
          race#c.z_polknow_scale |
                              1  |   .1016201   .1292156     0.79   0.432    -.1520092    .3552495
                              2  |   .1360485   .1629386     0.83   0.404    -.1837766    .4558736
                              3  |   .0589204    .162514     0.36   0.717    -.2600685    .3779092
                                 |
                       education |   .1627148   .1391792     1.17   0.243    -.1104748    .4359044
                 z_polknow_scale |          0  (omitted)
                                 |
   c.education#c.z_polknow_scale |   .1531814   .1508861     1.02   0.310     -.142985    .4493479
                                 |
                          income |    .283107   .1194965     2.37   0.018     .0485454    .5176686
                 z_polknow_scale |          0  (omitted)
                                 |
      c.income#c.z_polknow_scale |   .1561494   .1181675     1.32   0.187    -.0758007    .3880995
                                 |
                    5.sample_num |  -.0436882   .0695976    -0.63   0.530    -.1802963      .09292
                         state_1 |   .1536491   .9403097     0.16   0.870    -1.692006    1.999304
                         state_2 |   .4121378   .5027703     0.82   0.413     -.574714     1.39899
                         state_3 |   .2963482   .5447963     0.54   0.587    -.7729933     1.36569
                         state_4 |   .1219066   .4661118     0.26   0.794    -.7929926    1.036806
                         state_5 |    .292898   .4357146     0.67   0.502    -.5623387    1.148135
                         state_6 |  -.4667719   .5015403    -0.93   0.352     -1.45121    .5176662
                         state_7 |   .0174497    .548362     0.03   0.975    -1.058892    1.093792
                         state_8 |   .2106327   .6489808     0.32   0.746    -1.063204    1.484469
                         state_9 |   .3786669     .56554     0.67   0.503    -.7313891    1.488723
                        state_10 |  -.0826895   .4380266    -0.19   0.850    -.9424637    .7770846
                        state_11 |    .271955   .4481067     0.61   0.544    -.6076047    1.151515
                        state_12 |   .1035187   .7369528     0.14   0.888    -1.342988    1.550025
                        state_13 |  -.1523486   .4713852    -0.32   0.747    -1.077599    .7729014
                        state_14 |    .188354   .5441732     0.35   0.729    -.8797639    1.256472
                        state_15 |   .0066431   .4463249     0.01   0.988     -.869422    .8827082
                        state_16 |  -.1052445   .4672567    -0.23   0.822    -1.022392    .8119027
                        state_17 |  -.0047216   .4786423    -0.01   0.992    -.9442164    .9347731
                        state_18 |    -.13163   .4843513    -0.27   0.786    -1.082329    .8190694
                        state_19 |   .1026289   .5103592     0.20   0.841    -.8991196    1.104377
                        state_20 |  -.5258172   .4886304    -1.08   0.282    -1.484917    .4332822
                        state_21 |   .4803824     .46714     1.03   0.304    -.4365356      1.3973
                        state_22 |   .5804669   .6471835     0.90   0.370    -.6898599    1.850794
                        state_23 |    .002038   .4486052     0.00   0.996    -.8785002    .8825762
                        state_24 |  -.2345943   .4865397    -0.48   0.630    -1.189589    .7204007
                        state_25 |  -.0260447   .4773044    -0.05   0.956    -.9629126    .9108231
                        state_26 |   .1999242   .4893876     0.41   0.683    -.7606606    1.160509
                        state_27 |   .7821974   .9380827     0.83   0.405    -1.059087    2.623481
                        state_28 |   .1434109   .4496749     0.32   0.750    -.7392266    1.026048
                        state_29 |   .6561496    .944172     0.69   0.487    -1.197087    2.509387
                        state_30 |   .7283702    .642916     1.13   0.258    -.5335596      1.9903
                        state_31 |   .6811129   .6457858     1.05   0.292    -.5864499    1.948676
                        state_32 |   .2882206   .4538483     0.64   0.526    -.6026087     1.17905
                        state_33 |   .6805356   .6439226     1.06   0.291      -.58337    1.944441
                        state_34 |  -.5635844   .4948791    -1.14   0.255    -1.534948    .4077791
                        state_35 |   .2470394   .4380503     0.56   0.573    -.6127821    1.106861
                        state_36 |   .1955199   .4471424     0.44   0.662    -.6821475    1.073187
                        state_37 |   .1269895   .4882737     0.26   0.795    -.8314087    1.085388
                        state_38 |   .2816285    .481158     0.59   0.558    -.6628039    1.226061
                        state_39 |   .0339893   .4434475     0.08   0.939    -.8364252    .9044038
                        state_40 |  -.1220092   .5997163    -0.20   0.839    -1.299147    1.055128
                        state_41 |   .1235277   .4789162     0.26   0.797    -.8165042     1.06356
                        state_42 |   1.072246     .94088     1.14   0.255     -.774528    2.919021
                        state_43 |    .010863   .4894101     0.02   0.982    -.9497658    .9714917
                        state_44 |   .0148813   .4359838     0.03   0.973    -.8408838    .8706463
                        state_45 |   .1394286   .5181586     0.27   0.788    -.8776276    1.156485
                        state_46 |   .2016385   .4640152     0.43   0.664    -.7091464    1.112423
                        state_47 |   .6840737   .9399032     0.73   0.467    -1.160784    2.528932
                        state_48 |   .1669398   .4598786     0.36   0.717    -.7357255    1.069605
                        state_49 |   .1270802   .4850864     0.26   0.793    -.8250629    1.079223
                        state_50 |    .115841   .5108126     0.23   0.821    -.8867962    1.118478
                        state_51 |   .1246785   .6435207     0.19   0.846    -1.138438    1.387795
                           _cons |   .2497044   .4544472     0.55   0.583    -.6423024    1.141711
--------------------------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001l.tmp"

. mi estimate: regress z_dv_behavior c.z_latentnsc2##c.z_polengage_scale c.age##c.z_polengage_scale i.male##c.z_polengage_scale i.race##c.z_polengage_scale c.education##c.z_polengage_scale c.income##c.z_poleng
> age_scale i.sample_num 

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        970
                                                Average RVI       =     0.0108
                                                Largest FMI       =     0.0236
                                                Complete DF       =        951
DF adjustment:   Small sample                   DF:     min       =     907.38
                                                        avg       =     932.12
                                                        max       =     948.37
Model F test:       Equal FMI                   F(  18,  948.7)   =       4.11
Within VCE type:          OLS                   Prob > F          =     0.0000

----------------------------------------------------------------------------------------------------
                     z_dv_behavior | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------------------------+----------------------------------------------------------------
                      z_latentnsc2 |  -.0651457   .0259318    -2.51   0.012     -.116036   -.0142554
                 z_polengage_scale |   .1663479   .1819828     0.91   0.361    -.1907917    .5234875
                                   |
c.z_latentnsc2#c.z_polengage_scale |  -.0460433   .0370197    -1.24   0.214    -.1186933    .0266066
                                   |
                               age |  -.1149796   .1362652    -0.84   0.399    -.3823993    .1524401
                 z_polengage_scale |          0  (omitted)
                                   |
         c.age#c.z_polengage_scale |  -.1942704   .1834867    -1.06   0.290    -.5543587    .1658179
                                   |
                            1.male |  -.2335756   .0571738    -4.09   0.000    -.3457782    -.121373
                 z_polengage_scale |          0  (omitted)
                                   |
          male#c.z_polengage_scale |
                                1  |   .0184378   .0792481     0.23   0.816    -.1370846    .1739602
                                   |
                              race |
                                1  |  -.2015992   .1159272    -1.74   0.082    -.4291111    .0259127
                                2  |   -.042416   .1450642    -0.29   0.770    -.3271143    .2422823
                                3  |   -.117216   .1423743    -0.82   0.411    -.3966345    .1622026
                                   |
                 z_polengage_scale |          0  (omitted)
                                   |
          race#c.z_polengage_scale |
                                1  |  -.0011215   .1594164    -0.01   0.994    -.3139761     .311733
                                2  |   .1276445   .2081409     0.61   0.540    -.2808361    .5361252
                                3  |     .09521    .195118     0.49   0.626    -.2877105    .4781306
                                   |
                         education |   .2235084   .1276642     1.75   0.080    -.0270346    .4740513
                 z_polengage_scale |          0  (omitted)
                                   |
   c.education#c.z_polengage_scale |   .0584671   .1722516     0.34   0.734    -.2795753    .3965095
                                   |
                            income |   .3580339   .1080208     3.31   0.001     .1460342    .5700336
                 z_polengage_scale |          0  (omitted)
                                   |
      c.income#c.z_polengage_scale |  -.0420056   .1345437    -0.31   0.755    -.3060587    .2220475
                                   |
                      5.sample_num |   -.095699    .064666    -1.48   0.139     -.222605    .0312071
                             _cons |   .4063377    .141869     2.86   0.004     .1279146    .6847607
----------------------------------------------------------------------------------------------------

. mi estimate: regress z_dv_behavior c.z_latentnsc2##c.z_polint_scale c.age##c.z_polint_scale i.male##c.z_polint_scale i.race##c.z_polint_scale c.education##c.z_polint_scale c.income##c.z_polint_scale i.sample
> _num 

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        902
                                                Average RVI       =     0.0113
                                                Largest FMI       =     0.0278
                                                Complete DF       =        883
DF adjustment:   Small sample                   DF:     min       =     833.87
                                                        avg       =     863.67
                                                        max       =     880.53
Model F test:       Equal FMI                   F(  18,  880.7)   =       4.37
Within VCE type:          OLS                   Prob > F          =     0.0000

-------------------------------------------------------------------------------------------------
                  z_dv_behavior | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------------------------+----------------------------------------------------------------
                   z_latentnsc2 |  -.0786441   .0246729    -3.19   0.001    -.1270687   -.0302196
                 z_polint_scale |   .2613622   .1731993     1.51   0.132    -.0785797    .6013041
                                |
c.z_latentnsc2#c.z_polint_scale |  -.0426062   .0344719    -1.24   0.217    -.1102629    .0250505
                                |
                            age |  -.1064607   .1318486    -0.81   0.420     -.365239    .1523177
                 z_polint_scale |          0  (omitted)
                                |
         c.age#c.z_polint_scale |   .0850615   .1810697     0.47   0.639    -.2703187    .4404417
                                |
                         1.male |  -.2621313    .057701    -4.54   0.000      -.37538   -.1488827
                 z_polint_scale |          0  (omitted)
                                |
          male#c.z_polint_scale |
                             1  |  -.0626865   .0782956    -0.80   0.424    -.2163543    .0909813
                                |
                           race |
                             1  |  -.2095059   .1269907    -1.65   0.099    -.4587574    .0397456
                             2  |  -.0958563   .1580834    -0.61   0.544    -.4061367    .2144241
                             3  |  -.1514635   .1552515    -0.98   0.330      -.45618     .153253
                                |
                 z_polint_scale |          0  (omitted)
                                |
          race#c.z_polint_scale |
                             1  |  -.1149852   .1542962    -0.75   0.456    -.4178305    .1878601
                             2  |  -.0630251   .2032121    -0.31   0.757    -.4618827    .3358324
                             3  |  -.0016602    .182785    -0.01   0.993     -.360433    .3571125
                                |
                      education |    .255223   .1323869     1.93   0.054     -.004615     .515061
                 z_polint_scale |          0  (omitted)
                                |
   c.education#c.z_polint_scale |    .010849   .1666699     0.07   0.948    -.3162695    .3379675
                                |
                         income |   .3412868   .1108125     3.08   0.002     .1237932    .5587805
                 z_polint_scale |          0  (omitted)
                                |
      c.income#c.z_polint_scale |  -.1355162   .1328554    -1.02   0.308    -.3962769    .1252444
                                |
                   5.sample_num |  -.0991243   .0657298    -1.51   0.132    -.2281306    .0298821
                          _cons |   .4513606   .1521042     2.97   0.003     .1528211    .7499001
-------------------------------------------------------------------------------------------------

. mi estimate: regress z_dv_behavior c.z_latentnsc2##c.z_polknow_scale c.age##c.z_polknow_scale i.male##c.z_polknow_scale i.race##c.z_polknow_scale c.education##c.z_polknow_scale c.income##c.z_polknow_scale i.
> sample_num 

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =        906
                                                Average RVI       =     0.0111
                                                Largest FMI       =     0.0277
                                                Complete DF       =        887
DF adjustment:   Small sample                   DF:     min       =     837.85
                                                        avg       =     870.10
                                                        max       =     884.26
Model F test:       Equal FMI                   F(  18,  884.7)   =       3.97
Within VCE type:          OLS                   Prob > F          =     0.0000

--------------------------------------------------------------------------------------------------
                   z_dv_behavior | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------------------------+----------------------------------------------------------------
                    z_latentnsc2 |  -.0807625   .0273415    -2.95   0.003    -.1344243   -.0271007
                 z_polknow_scale |  -.0706818   .1513676    -0.47   0.641     -.367767    .2264034
                                 |
c.z_latentnsc2#c.z_polknow_scale |  -.0032842   .0315885    -0.10   0.917    -.0652814     .058713
                                 |
                             age |   .0218361    .141683     0.15   0.878    -.2562411    .2999134
                 z_polknow_scale |          0  (omitted)
                                 |
         c.age#c.z_polknow_scale |  -.3236321   .1520128    -2.13   0.034    -.6219834   -.0252809
                                 |
                          1.male |  -.2606047   .0605955    -4.30   0.000    -.3795332   -.1416763
                 z_polknow_scale |          0  (omitted)
                                 |
          male#c.z_polknow_scale |
                              1  |   .0879553    .066479     1.32   0.186    -.0425207    .2184313
                                 |
                            race |
                              1  |  -.2229134   .1187732    -1.88   0.061    -.4560307    .0102039
                              2  |  -.0278971     .15151    -0.18   0.854    -.3252745    .2694802
                              3  |  -.1074034   .1467669    -0.73   0.464    -.3954672    .1806603
                                 |
                 z_polknow_scale |          0  (omitted)
                                 |
          race#c.z_polknow_scale |
                              1  |   .0972733   .1260445     0.77   0.440     -.150111    .3446577
                              2  |   .1268324     .15967     0.79   0.427    -.1865514    .4402163
                              3  |   .0630927   .1594709     0.40   0.692    -.2498967    .3760821
                                 |
                       education |   .1982348   .1340821     1.48   0.140    -.0649276    .4613971
                 z_polknow_scale |          0  (omitted)
                                 |
   c.education#c.z_polknow_scale |   .1813761   .1463251     1.24   0.215    -.1058139    .4685661
                                 |
                          income |   .3150346   .1146208     2.75   0.006      .090057    .5400122
                 z_polknow_scale |          0  (omitted)
                                 |
      c.income#c.z_polknow_scale |   .0838111   .1147048     0.73   0.465    -.1413268     .308949
                                 |
                    5.sample_num |   -.071048   .0674208    -1.05   0.292    -.2033726    .0612766
                           _cons |    .380503   .1461208     2.60   0.009      .093711    .6672951
--------------------------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001m.tmp"

. local vars dv_distancing dv_masking

. foreach var of local vars {
  2. mi estimate: regress `var' c.auth_scale##c.polengage_scale c.age##c.polengage_scale i.male##c.polengage_scale i.race##c.polengage_scale c.education##c.polengage_scale c.income##c.polengage_scale i.sample_
> num state_1-state_51
  3. quietly mimrgns, at(auth_scale=(0 1) polengage_scale=(0 .25 .5 .75 1)) coeflegend post
  4.     lincom _b[6._at]-_b[1._at]
  5.     lincom _b[7._at]-_b[2._at]
  6.     lincom _b[8._at]-_b[3._at]
  7.     lincom _b[9._at]-_b[4._at]
  8.     lincom _b[10._at]-_b[5._at]
  9. }

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      4,023
                                                Average RVI       =     0.0030
                                                Largest FMI       =     0.0335
                                                Complete DF       =       3951
DF adjustment:   Small sample                   DF:     min       =   3,241.79
                                                        avg       =   3,876.26
                                                        max       =   3,942.18
Model F test:       Equal FMI                   F(  71, 3948.9)   =       6.25
Within VCE type:          OLS                   Prob > F          =     0.0000

------------------------------------------------------------------------------------------------
                 dv_distancing | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------------------------+----------------------------------------------------------------
                    auth_scale |  -.0228616   .0463876    -0.49   0.622    -.1138075    .0680843
               polengage_scale |   .3154386   .0898527     3.51   0.000     .1392764    .4916008
                               |
c.auth_scale#c.polengage_scale |   .0100465   .0651816     0.15   0.878    -.1177464    .1378394
                               |
                           age |    .335616   .0642673     5.22   0.000     .2096073    .4616248
               polengage_scale |          0  (omitted)
                               |
       c.age#c.polengage_scale |  -.5042886   .0907042    -5.56   0.000    -.6821292    -.326448
                               |
                        1.male |    -.00685    .027344    -0.25   0.802    -.0604611    .0467611
               polengage_scale |          0  (omitted)
                               |
        male#c.polengage_scale |
                            1  |  -.0549705   .0395874    -1.39   0.165    -.1325864    .0226454
                               |
                          race |
                            1  |   .0296159   .0502767     0.59   0.556    -.0689551    .1281869
                            2  |   .1556359   .0600231     2.59   0.010     .0379565    .2733152
                            3  |   .1408442   .0572248     2.46   0.014      .028651    .2530374
                               |
               polengage_scale |          0  (omitted)
                               |
        race#c.polengage_scale |
                            1  |  -.0757837   .0755381    -1.00   0.316    -.2238816    .0723142
                            2  |  -.1101314   .0933493    -1.18   0.238    -.2931494    .0728866
                            3  |   -.151099   .0886759    -1.70   0.088    -.3249542    .0227562
                               |
                     education |   .0099259    .054124     0.18   0.855    -.0961882    .1160399
               polengage_scale |          0  (omitted)
                               |
 c.education#c.polengage_scale |   .0086522   .0779955     0.11   0.912    -.1442637    .1615682
                               |
                        income |   .0011591   .0506421     0.02   0.982    -.0981339    .1004521
               polengage_scale |          0  (omitted)
                               |
    c.income#c.polengage_scale |   .0654527   .0716934     0.91   0.361    -.0751136    .2060189
                               |
                    sample_num |
                            3  |  -.0343626   .0170207    -2.02   0.044    -.0677328   -.0009923
                            4  |  -.1392246   .0155613    -8.95   0.000    -.1697336   -.1087156
                            5  |   .0091853   .0196694     0.47   0.641    -.0293778    .0477484
                               |
                       state_1 |   .0937171   .1817553     0.52   0.606    -.2626265    .4500607
                       state_2 |   .0744393   .1500357     0.50   0.620    -.2197162    .3685948
                       state_3 |    .131888   .1521977     0.87   0.386    -.1665063    .4302822
                       state_4 |   .1082741   .1479794     0.73   0.464      -.18185    .3983981
                       state_5 |   .1649623   .1461102     1.13   0.259    -.1214972    .4514217
                       state_6 |   .0574763   .1493833     0.38   0.700    -.2354001    .3503528
                       state_7 |   .1356328   .1533146     0.88   0.376    -.1649513    .4362169
                       state_8 |   .2211562   .1597207     1.38   0.166    -.0919874    .5342998
                       state_9 |   .1600948   .1645875     0.97   0.331    -.1625904    .4827801
                      state_10 |    .116693   .1463157     0.80   0.425    -.1701693    .4035554
                      state_11 |    .114037   .1473277     0.77   0.439    -.1748095    .4028834
                      state_12 |   .3039718   .1603923     1.90   0.058    -.0104884    .6184321
                      state_13 |  -.0086408   .1532102    -0.06   0.955    -.3090202    .2917385
                      state_14 |   .1134548   .1623006     0.70   0.485    -.2047469    .4316564
                      state_15 |   .1232389   .1474218     0.84   0.403    -.1657921    .4122698
                      state_16 |   .0758684   .1489968     0.51   0.611    -.2162503    .3679872
                      state_17 |   .0888779   .1519243     0.59   0.559    -.2089805    .3867363
                      state_18 |   .1776411   .1501863     1.18   0.237    -.1168097    .4720919
                      state_19 |   .0767297   .1508085     0.51   0.611    -.2189409    .3724004
                      state_20 |   .1212088   .1493863     0.81   0.417    -.1716735    .4140912
                      state_21 |   .1435459   .1491835     0.96   0.336     -.148939    .4360308
                      state_22 |   .2479797   .1624808     1.53   0.127    -.0705752    .5665346
                      state_23 |   .1167517   .1477004     0.79   0.429    -.1728253    .4063288
                      state_24 |   .0754184    .150759     0.50   0.617    -.2201553     .370992
                      state_25 |   .1132948   .1488262     0.76   0.447    -.1784895    .4050791
                      state_26 |   .0725461   .1550843     0.47   0.640    -.2315076    .3765997
                      state_27 |   .0226607   .1649855     0.14   0.891     -.300805    .3461264
                      state_28 |   .1281553   .1475763     0.87   0.385    -.1611785    .4174892
                      state_29 |   .0364116   .1696515     0.21   0.830    -.2962019     .369025
                      state_30 |   .0918841   .1575685     0.58   0.560    -.2170401    .4008082
                      state_31 |  -.0046766   .1624023    -0.03   0.977    -.3230776    .3137243
                      state_32 |   .1416595   .1478578     0.96   0.338    -.1482262    .4315453
                      state_33 |   .0571594   .1636205     0.35   0.727    -.2636301     .377949
                      state_34 |   .1603902   .1512263     1.06   0.289    -.1360997      .45688
                      state_35 |    .170157   .1462338     1.16   0.245    -.1165448    .4568588
                      state_36 |   .1367395   .1473178     0.93   0.353    -.1520876    .4255666
                      state_37 |   .0846191   .1511856     0.56   0.576    -.2117909    .3810292
                      state_38 |   .1660891   .1506212     1.10   0.270    -.1292144    .4613927
                      state_39 |   .0705813   .1468797     0.48   0.631    -.2173868    .3585494
                      state_40 |   .1097438   .1647282     0.67   0.505    -.2132172    .4327048
                      state_41 |    .137492   .1497985     0.92   0.359    -.1561986    .4311826
                      state_42 |  -.1502528   .1947735    -0.77   0.441    -.5321195     .231614
                      state_43 |   .1092824   .1494439     0.73   0.465    -.1837129    .4022776
                      state_44 |   .1039548   .1462617     0.71   0.477    -.1828016    .3907112
                      state_45 |   .1669299   .1546445     1.08   0.280    -.1362615    .4701212
                      state_46 |   .0973448   .1484334     0.66   0.512    -.1936693    .3883589
                      state_47 |   .1209433   .1719031     0.70   0.482    -.2160846    .4579711
                      state_48 |   .0920744   .1489745     0.62   0.537    -.2000007    .3841495
                      state_49 |   .0915496   .1501704     0.61   0.542    -.2028701    .3859693
                      state_50 |   .1376613   .1547337     0.89   0.374    -.1657049    .4410275
                      state_51 |   .0416081   .1717674     0.24   0.809    -.2951537    .3783698
                         _cons |   .5208293   .1578099     3.30   0.001      .211432    .8302266
------------------------------------------------------------------------------------------------

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0228616   .0463876    -0.49   0.622    -.1138074    .0680842
------------------------------------------------------------------------------

 ( 1)  - 2._at + 7._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |    -.02035   .0317005    -0.64   0.521    -.0825008    .0418009
------------------------------------------------------------------------------

 ( 1)  - 3._at + 8._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0178383    .019726    -0.90   0.366    -.0565124    .0208357
------------------------------------------------------------------------------

 ( 1)  - 4._at + 9._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0153267   .0174468    -0.88   0.380    -.0495323    .0188788
------------------------------------------------------------------------------

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0128151   .0273998    -0.47   0.640    -.0665341    .0409039
------------------------------------------------------------------------------

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      4,017
                                                Average RVI       =     0.0034
                                                Largest FMI       =     0.0633
                                                Complete DF       =       3945
DF adjustment:   Small sample                   DF:     min       =   2,295.45
                                                        avg       =   3,829.97
                                                        max       =   3,942.95
Model F test:       Equal FMI                   F(  71, 3942.9)   =      26.44
Within VCE type:          OLS                   Prob > F          =     0.0000

------------------------------------------------------------------------------------------------
                    dv_masking | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------------------------+----------------------------------------------------------------
                    auth_scale |   .0315968   .0418999     0.75   0.451    -.0505509    .1137444
               polengage_scale |   .3527458     .08138     4.33   0.000     .1931945     .512297
                               |
c.auth_scale#c.polengage_scale |   -.095094   .0589053    -1.61   0.107    -.2105819    .0203939
                               |
                           age |   .1968941   .0589889     3.34   0.001     .0812169    .3125713
               polengage_scale |          0  (omitted)
                               |
       c.age#c.polengage_scale |  -.3696348   .0833813    -4.43   0.000    -.5331433   -.2061264
                               |
                        1.male |   .0112391   .0250399     0.45   0.654    -.0378587    .0603369
               polengage_scale |          0  (omitted)
                               |
        male#c.polengage_scale |
                            1  |  -.0523374   .0362007    -1.45   0.148    -.1233186    .0186437
                               |
                          race |
                            1  |  -.0258696   .0455701    -0.57   0.570     -.115213    .0634737
                            2  |   .1589865   .0543613     2.92   0.003     .0524076    .2655655
                            3  |   .1211123   .0518125     2.34   0.019     .0195305    .2226941
                               |
               polengage_scale |          0  (omitted)
                               |
        race#c.polengage_scale |
                            1  |   .0011306   .0683911     0.02   0.987     -.132955    .1352162
                            2  |  -.0857793   .0844648    -1.02   0.310    -.2513786    .0798199
                            3  |  -.1589124   .0802972    -1.98   0.048    -.3163404   -.0014843
                               |
                     education |   .0442109   .0490292     0.90   0.367    -.0519148    .1403367
               polengage_scale |          0  (omitted)
                               |
 c.education#c.polengage_scale |  -.0399708   .0706724    -0.57   0.572    -.1785301    .0985884
                               |
                        income |   .0590684   .0463183     1.28   0.202    -.0317544    .1498912
               polengage_scale |          0  (omitted)
                               |
    c.income#c.polengage_scale |  -.0279913   .0656175    -0.43   0.670    -.1566559    .1006733
                               |
                    sample_num |
                            3  |  -.1024437   .0154009    -6.65   0.000    -.1326382   -.0722493
                            4  |  -.3579225   .0140804   -25.42   0.000    -.3855281   -.3303169
                            5  |  -.0295341   .0177905    -1.66   0.097    -.0644135    .0053453
                               |
                       state_1 |   .0397157   .1805732     0.22   0.826      -.31431    .3937415
                       state_2 |  -.0604569   .1550125    -0.39   0.697    -.3643692    .2434554
                       state_3 |  -.0123378    .156689    -0.08   0.937     -.319537    .2948614
                       state_4 |  -.0073948   .1534214    -0.05   0.962    -.3081875     .293398
                       state_5 |   .0660457    .151936     0.43   0.664    -.2318348    .3639261
                       state_6 |  -.1120072   .1544901    -0.73   0.468    -.4148952    .1908808
                       state_7 |  -.0146748   .1576375    -0.09   0.926    -.3237335     .294384
                       state_8 |   .0645772   .1626871     0.40   0.691    -.2543816     .383536
                       state_9 |   .0551177   .1666048     0.33   0.741    -.2715219    .3817573
                      state_10 |  -.0254229   .1520937    -0.17   0.867    -.3236127    .2727668
                      state_11 |   -.028854   .1528503    -0.19   0.850    -.3285272    .2708191
                      state_12 |   .2088417   .1632495     1.28   0.201    -.1112196    .5289031
                      state_13 |  -.0950876   .1573135    -0.60   0.546     -.403511    .2133358
                      state_14 |    .034809   .1648088     0.21   0.833    -.2883096    .3579276
                      state_15 |   -.034355   .1529586    -0.22   0.822    -.3342404    .2655303
                      state_16 |  -.0609054   .1542189    -0.39   0.693    -.3632618     .241451
                      state_17 |  -.1027693   .1565221    -0.66   0.511    -.4096412    .2041026
                      state_18 |  -.0130849   .1552132    -0.08   0.933    -.3173907    .2912209
                      state_19 |  -.0316311   .1556244    -0.20   0.839    -.3367431    .2734808
                      state_20 |   .0148924   .1544522     0.10   0.923    -.2879212    .3177061
                      state_21 |   -.005777   .1543306    -0.04   0.970    -.3083522    .2967982
                      state_22 |  -.0154833    .164946    -0.09   0.925    -.3388709    .3079042
                      state_23 |  -.0482016   .1532016    -0.31   0.753    -.3485635    .2521603
                      state_24 |  -.0704985   .1555827    -0.45   0.650    -.3755286    .2345316
                      state_25 |  -.0433542   .1540619    -0.28   0.778    -.3454027    .2586943
                      state_26 |  -.0681892   .1589615    -0.43   0.668    -.3798436    .2434652
                      state_27 |  -.1689195     .16696    -1.01   0.312    -.4962557    .1584166
                      state_28 |  -.0028007   .1530554    -0.02   0.985    -.3028759    .2972744
                      state_29 |  -.2940791   .1707699    -1.72   0.085    -.6288847    .0407265
                      state_30 |    -.01536   .1610501    -0.10   0.924    -.3311093    .3003894
                      state_31 |  -.1946428   .1648694    -1.18   0.238    -.5178801    .1285946
                      state_32 |   .0051625   .1533208     0.03   0.973    -.2954329    .3057579
                      state_33 |  -.0089722   .1658993    -0.05   0.957    -.3342288    .3162844
                      state_34 |   .0835539   .1560687     0.54   0.592    -.2224291    .3895369
                      state_35 |     .05087   .1520034     0.33   0.738    -.2471427    .3488826
                      state_36 |  -.0565463   .1528664    -0.37   0.711    -.3562509    .2431584
                      state_37 |   -.036152   .1559038    -0.23   0.817    -.3418116    .2695077
                      state_38 |    .056331   .1555221     0.36   0.717    -.2485803    .3612423
                      state_39 |  -.0294017   .1525175    -0.19   0.847    -.3284222    .2696188
                      state_40 |   .0052329   .1668291     0.03   0.975    -.3218465    .3323123
                      state_41 |   -.027526   .1547557    -0.18   0.859    -.3309347    .2758827
                      state_42 |  -.3655495    .191374    -1.91   0.056    -.7407507    .0096518
                      state_43 |  -.0635084   .1545734    -0.41   0.681    -.3665597    .2395428
                      state_44 |  -.0259027   .1520462    -0.17   0.865    -.3239993     .272194
                      state_45 |   -.079581   .1586941    -0.50   0.616    -.3907112    .2315492
                      state_46 |  -.0451498   .1538001    -0.29   0.769     -.346685    .2563853
                      state_47 |  -.1026124   .1725741    -0.59   0.552    -.4409553    .2357305
                      state_48 |   -.013147   .1541991    -0.09   0.932    -.3154644    .2891704
                      state_49 |  -.1073317   .1551172    -0.69   0.489    -.4114491    .1967857
                      state_50 |  -.0179865   .1588032    -0.11   0.910    -.3293306    .2933575
                      state_51 |    -.26331   .1724523    -1.53   0.127     -.601414     .074794
                         _cons |    .785473   .1615547     4.86   0.000     .4687344    1.102212
------------------------------------------------------------------------------------------------

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0315968   .0418999     0.75   0.451    -.0505508    .1137443
------------------------------------------------------------------------------

 ( 1)  - 2._at + 7._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0078233   .0286284     0.27   0.785    -.0483045     .063951
------------------------------------------------------------------------------

 ( 1)  - 3._at + 8._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0159502   .0178126    -0.90   0.371    -.0508731    .0189726
------------------------------------------------------------------------------

 ( 1)  - 4._at + 9._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0397237   .0157711    -2.52   0.012     -.070644   -.0088035
------------------------------------------------------------------------------

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0634972   .0247769    -2.56   0.010     -.112074   -.0149205
------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001n.tmp"

. 
. * Concern, Auth Medians: 0.20, 0.56, 0.93
. sum polengage_scale if dv_concern != . & auth_scale != . & polengage_scale < 0.33, det

                       polengage_scale
-------------------------------------------------------------
      Percentiles      Smallest
 1%            0              0
 5%            0              0
10%            0              0       Obs               1,171
25%     .1269841              0       Sum of wgt.       1,171

50%           .2                      Mean            .174116
                        Largest       Std. dev.      .0947446
75%     .2430556       .3253968
90%     .2797619       .3253968       Variance       .0089765
95%     .3047619       .3253968       Skewness      -.7135387
99%     .3214286       .3263889       Kurtosis       2.488452

. sum polengage_scale if dv_concern != . & auth_scale != . & polengage_scale >= 0.33 & polengage_scale < 0.67, det

                       polengage_scale
-------------------------------------------------------------
      Percentiles      Smallest
 1%     .3373016       .3333333
 5%     .3819444       .3333333
10%           .4       .3333333       Obs               3,933
25%     .4444444       .3333333       Sum of wgt.       3,933

50%     .5555556                      Mean           .5279618
                        Largest       Std. dev.      .0925026
75%           .6       .6666667
90%     .6388889       .6666667       Variance       .0085567
95%     .6626984       .6666667       Skewness      -.3345421
99%     .6666667       .6666667       Kurtosis       1.775385

. sum polengage_scale if dv_concern != . & auth_scale != . & polengage_scale >= 0.67, det

                       polengage_scale
-------------------------------------------------------------
      Percentiles      Smallest
 1%     .6904762       .6736111
 5%     .7321429       .6736111
10%     .7708333       .6736111       Obs              14,730
25%     .8333333       .6736111       Sum of wgt.      14,730

50%     .9285714                      Mean           .9047518
                        Largest       Std. dev.      .0944557
75%            1              1
90%            1              1       Variance       .0089219
95%            1              1       Skewness      -.5863582
99%            1              1       Kurtosis        2.13574

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001o.tmp"

. sum polengage_scale if dv_concern != . & latentnsc2 != . & polengage_scale < 0.50, det

                       polengage_scale
-------------------------------------------------------------
      Percentiles      Smallest
 1%         .125          .0625
 5%         .125          .0625
10%        .1875       .1180556       Obs                 531
25%          .25           .125       Sum of wgt.         531

50%     .4097222                      Mean           .3619612
                        Largest       Std. dev.      .1102178
75%     .4513889       .4930556
90%     .4652778       .4930556       Variance        .012148
95%     .4930556       .4930556       Skewness      -.8069601
99%     .4930556       .4930556       Kurtosis       2.349398

. sum polengage_scale if dv_concern != . & latentnsc2 != . & polengage_scale >= 0.50, det // Bin Medians: 0.20, 0.56, 0.93

                       polengage_scale
-------------------------------------------------------------
      Percentiles      Smallest
 1%           .5             .5
 5%     .5347222             .5
10%     .5763889             .5       Obs               1,384
25%     .7013889             .5       Sum of wgt.       1,384

50%        .8125                      Mean           .7983674
                        Largest       Std. dev.      .1422463
75%     .9166667              1
90%            1              1       Variance        .020234
95%            1              1       Skewness      -.4013471
99%            1              1       Kurtosis       2.204022

. 
end of do-file

. sum latentnsc2, det

                         latentnsc2
-------------------------------------------------------------
      Percentiles      Smallest
 1%     .0272662              0
 5%     .1066285       .0043632
10%     .1921191       .0071583       Obs               2,121
25%     .3452783       .0073306       Sum of wgt.       2,121

50%     .4919683                      Mean           .4523347
                        Largest       Std. dev.      .1747969
75%     .5456775       .9438711
90%     .6355466       .9544292       Variance        .030554
95%     .7065915       .9549724       Skewness      -.4213103
99%      .887406              1       Kurtosis        3.40272

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001p.tmp"

. 
. * Session setup
. version 18

. clear all

. set more off

. 
. import excel "pooled_data.xlsx", sheet("Sheet1") firstrow clear
(190 vars, 10,223 obs)

. describe

Contains data
 Observations:        10,223                  
    Variables:           190                  
----------------------------------------------------------------------------------------------------------------------------------------------------------
Variable      Storage   Display    Value
    name         type    format    label      Variable label
----------------------------------------------------------------------------------------------------------------------------------------------------------
sample          str9    %9s                   sample
year            int     %10.0g                year
age             double  %10.0g                age
male            byte    %10.0g                male
white           byte    %10.0g                white
black           byte    %10.0g                black
hispanic        byte    %10.0g                hispanic
otherrace       byte    %10.0g                otherrace
race            byte    %10.0g                race
income          double  %10.0g                income
education       double  %10.0g                education
ipaddress       double  %10.0g                ipaddress
zip             str5    %9s                   zip
state           str2    %9s                   state
region          byte    %10.0g                region
south           byte    %10.0g                south
pid             double  %10.0g                pid
ideo            double  %10.0g                ideo
auth1           double  %10.0g                auth1
auth2           double  %10.0g                auth2
auth3           double  %10.0g                auth3
auth4           double  %10.0g                auth4
auth5           byte    %10.0g                auth5
auth6           byte    %10.0g                auth6
auth7           byte    %10.0g                auth7
auth8           byte    %10.0g                auth8
auth_scale      double  %10.0g                auth_scale
consc1          double  %10.0g                consc1
consc2          double  %10.0g                consc2
consc3          double  %10.0g                consc3
consc_scale     double  %10.0g                consc_scale
open1           double  %10.0g                open1
open2           double  %10.0g                open2
open3           double  %10.0g                open3
open4           double  %10.0g                open4
open5           double  %10.0g                open5
open6           double  %10.0g                open6
open_scale      double  %10.0g                open_scale
rwa1            double  %10.0g                rwa1
rwa2            double  %10.0g                rwa2
rwa3            double  %10.0g                rwa3
rwa4            double  %10.0g                rwa4
rwa5            double  %10.0g                rwa5
rwa6            double  %10.0g                rwa6
rwa7            double  %10.0g                rwa7
rwa8            double  %10.0g                rwa8
rwa9            double  %10.0g                rwa9
rwa10           double  %10.0g                rwa10
rwa11           double  %10.0g                rwa11
rwa12           double  %10.0g                rwa12
rwa13           double  %10.0g                rwa13
rwa14           double  %10.0g                rwa14
rwa15           double  %10.0g                rwa15
rwa16           double  %10.0g                rwa16
rwa17           double  %10.0g                rwa17
rwa18           double  %10.0g                rwa18
rwa_scale       double  %10.0g                rwa_scale
authority       double  %10.0g                authority
purity          double  %10.0g                purity
loyalty         double  %10.0g                loyalty
loyal2          double  %10.0g                loyal2
care            double  %10.0g                care
care2           double  %10.0g                care2
fairness        double  %10.0g                fairness
fair2           double  %10.0g                fair2
individualizing double  %10.0g                individualizing
binding         double  %10.0g                binding
nfs1            double  %10.0g                nfs1
nfs2            double  %10.0g                nfs2
nfs3            double  %10.0g                nfs3
nfs4            double  %10.0g                nfs4
nfs5            double  %10.0g                nfs5
nfs6            double  %10.0g                nfs6
nfs7            double  %10.0g                nfs7
nfs8            double  %10.0g                nfs8
nfs9            double  %10.0g                nfs9
nfs10           double  %10.0g                nfs10
nfs11           double  %10.0g                nfs11
nfs12           double  %10.0g                nfs12
nfs_scale       double  %10.0g                nfs_scale
polint1         double  %10.0g                polint1
polint2         double  %10.0g                polint2
polint3         double  %10.0g                polint3
polint4         double  %10.0g                polint4
polint5         double  %10.0g                polint5
polint6         double  %10.0g                polint6
polint_scale    double  %10.0g                polint_scale
polknow1        byte    %10.0g                polknow1
polknow2        byte    %10.0g                polknow2
polknow3        byte    %10.0g                polknow3
polknow4        byte    %10.0g                polknow4
polknow5        byte    %10.0g                polknow5
polknow6        byte    %10.0g                polknow6
polknow7        byte    %10.0g                polknow7
polknow8        byte    %10.0g                polknow8
polknow_scale   double  %10.0g                polknow_scale
polengage_scale double  %10.0g                polengage_scale
dv_travel       byte    %10.0g                dv_travel
dv_work_home    byte    %10.0g                dv_work_home
dv_wash_hands   byte    %10.0g                dv_wash_hands
dv_avoid_dine   byte    %10.0g                dv_avoid_dine
dv_cancel_event byte    %10.0g                dv_cancel_event
dv_sanitize     byte    %10.0g                dv_sanitize
dv_distancing1  double  %10.0g                dv_distancing1
dv_distancing2  double  %10.0g                dv_distancing2
dv_distancing   double  %10.0g                dv_distancing
dv_masking1     double  %10.0g                dv_masking1
dv_masking2     double  %10.0g                dv_masking2
dv_masking      double  %10.0g                dv_masking
dv_vaxstatus    double  %10.0g                dv_vaxstatus
dv_behavior     double  %10.0g                dv_behavior
dv_concern      double  %10.0g                dv_concern
dv_businesses   double  %10.0g                dv_businesses
dv_tracking     double  %10.0g                dv_tracking
dv_lockdowns    double  %10.0g                dv_lockdowns
dv_mmindoors    double  %10.0g                dv_mmindoors
dv_mmoutdoors   double  %10.0g                dv_mmoutdoors
dv_maskmandates double  %10.0g                dv_maskmandates
dv_vaxmandate   double  %10.0g                dv_vaxmandate
dv_staterestr~t byte    %10.0g                dv_staterestrict
dv_cancelevents double  %10.0g                dv_cancelevents
dv_schools      double  %10.0g                dv_schools
dv_workhome     double  %10.0g                dv_workhome
dv_travelrest   double  %10.0g                dv_travelrest
dv_stayhome     double  %10.0g                dv_stayhome
dv_testingreq   double  %10.0g                dv_testingreq
dv_restrictions double  %10.0g                dv_restrictions
vax1            double  %10.0g                vax1
vax2            double  %10.0g                vax2
vax3            double  %10.0g                vax3
vax4            double  %10.0g                vax4
vax5            double  %10.0g                vax5
vax_scale       double  %10.0g                vax_scale
infected        str11   %11s                  infected
latentnsc1      double  %10.0g                latentnsc1
latentnsc2      double  %10.0g                latentnsc2
race_num        byte    %10.0g                race_num
sample_num      byte    %10.0g                sample_num
state_num       byte    %10.0g                state_num
state_1         double  %10.0g                state_1
state_2         double  %10.0g                state_2
state_3         double  %10.0g                state_3
state_4         double  %10.0g                state_4
state_5         double  %10.0g                state_5
state_6         double  %10.0g                state_6
state_7         double  %10.0g                state_7
state_8         double  %10.0g                state_8
state_9         double  %10.0g                state_9
state_10        double  %10.0g                state_10
state_11        double  %10.0g                state_11
state_12        double  %10.0g                state_12
state_13        double  %10.0g                state_13
state_14        double  %10.0g                state_14
state_15        double  %10.0g                state_15
state_16        double  %10.0g                state_16
state_17        double  %10.0g                state_17
state_18        double  %10.0g                state_18
state_19        double  %10.0g                state_19
state_20        double  %10.0g                state_20
state_21        double  %10.0g                state_21
state_22        double  %10.0g                state_22
state_23        double  %10.0g                state_23
state_24        double  %10.0g                state_24
state_25        double  %10.0g                state_25
state_26        double  %10.0g                state_26
state_27        double  %10.0g                state_27
state_28        double  %10.0g                state_28
state_29        double  %10.0g                state_29
state_30        double  %10.0g                state_30
state_31        double  %10.0g                state_31
state_32        double  %10.0g                state_32
state_33        double  %10.0g                state_33
state_34        double  %10.0g                state_34
state_35        double  %10.0g                state_35
state_36        double  %10.0g                state_36
state_37        double  %10.0g                state_37
state_38        double  %10.0g                state_38
state_39        double  %10.0g                state_39
state_40        double  %10.0g                state_40
state_41        double  %10.0g                state_41
state_42        double  %10.0g                state_42
state_43        double  %10.0g                state_43
state_44        double  %10.0g                state_44
state_45        double  %10.0g                state_45
state_46        double  %10.0g                state_46
state_47        double  %10.0g                state_47
state_48        double  %10.0g                state_48
state_49        double  %10.0g                state_49
state_50        double  %10.0g                state_50
state_51        double  %10.0g                state_51
----------------------------------------------------------------------------------------------------------------------------------------------------------
Sorted by: 
     Note: Dataset has changed since last saved.

. summarize

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
      sample |          0
        year |     10,223    2020.022    .9777955       2016       2021
         age |      9,666    .4202272    .2116944          0          1
        male |      9,681    .4680302    .4990027          0          1
       white |      9,898    .7424732     .437294          0          1
-------------+---------------------------------------------------------
       black |      9,898    .0975955    .2967819          0          1
    hispanic |      9,933     .094332    .2923048          0          1
   otherrace |      9,928    .0746374    .2628186          0          1
        race |      9,898    1.221358    .7016202          0          3
      income |      9,075    .4402077    .2888247          0          1
-------------+---------------------------------------------------------
   education |      9,926    .5661394    .2879624          0          1
   ipaddress |      5,394    2.24e+10    4.18e+10     656954   2.17e+11
         zip |          0
       state |          0
      region |      9,934    5.083249    2.471791          1          9
-------------+---------------------------------------------------------
       south |     10,223     .361929    .4805819          0          1
         pid |      9,462    .4484792    .3742852          0          1
        ideo |      9,520    .5003326    .2821105          0          1
       auth1 |      8,673    .5650294    .4773253          0          1
       auth2 |      8,671    .5611233    .4802446          0          1
-------------+---------------------------------------------------------
       auth3 |      8,667     .509115    .4815162          0          1
       auth4 |      8,644    .3737853    .4639372          0          1
       auth5 |      3,241    .5350201    .4988491          0          1
       auth6 |      2,225    .6759551    .4681221          0          1
       auth7 |      2,224    .2697842    .4439474          0          1
-------------+---------------------------------------------------------
       auth8 |      2,224    .3830935    .4862501          0          1
  auth_scale |      8,838    .4921391     .320342          0          1
      consc1 |      1,046    .6474665    .3219495          0          1
      consc2 |      1,046    .6037285    .3253566          0          1
      consc3 |      1,046    .8236138    .2164453          0          1
-------------+---------------------------------------------------------
 consc_scale |      1,046    .6916029    .2276615          0          1
       open1 |      1,046    .7155832    .2959228          0          1
       open2 |      1,046    .6355163    .3060054          0          1
       open3 |      1,046    .6955067    .2551271          0          1
       open4 |      1,045    .6366029    .3213544          0          1
-------------+---------------------------------------------------------
       open5 |      1,046    .7256214    .2529791          0          1
       open6 |      1,046    .6794933    .3154516          0          1
  open_scale |      1,046    .6814054    .2008386          0          1
        rwa1 |        909    .5453795    .3140709          0          1
        rwa2 |        908    .4443833    .3066991          0          1
-------------+---------------------------------------------------------
        rwa3 |        909    .4312431    .2953433          0          1
        rwa4 |        906     .544702    .3009003          0          1
        rwa5 |        906    .4936534    .2975981          0          1
        rwa6 |        907     .356946    .2714348          0          1
        rwa7 |        906     .433223    .2725164          0          1
-------------+---------------------------------------------------------
        rwa8 |        907    .5060639     .307363          0          1
        rwa9 |        907    .3944322    .3469822          0          1
       rwa10 |        906    .3899007     .308185          0          1
       rwa11 |        907    .5214994    .3181517          0          1
       rwa12 |        907    .3613561    .3212542          0          1
-------------+---------------------------------------------------------
       rwa13 |        902    .4512195    .2723957          0          1
       rwa14 |        900    .5211111    .2945064          0          1
       rwa15 |        905    .4372928    .2765321          0          1
       rwa16 |        902    .5072062    .3047955          0          1
       rwa17 |        902    .4581486    .2977116          0          1
-------------+---------------------------------------------------------
       rwa18 |        904    .5110619     .301141          0          1
   rwa_scale |        909    .4618155    .1869296          0          1
   authority |      1,046    .4602294    .2917782          0          1
      purity |      1,046    .5891013    .3011871          0          1
     loyalty |      1,046    .5017208    .3171296          0          1
-------------+---------------------------------------------------------
      loyal2 |        547    .5334552    .2791201          0          1
        care |      1,046    .7114723     .253742          0          1
       care2 |        547    .7224863    .2390205          0          1
    fairness |      1,046    .7239006    .2482908          0          1
       fair2 |        547    .7363803    .2481656          0          1
-------------+---------------------------------------------------------
individual~g |      1,046    .7176864    .2236342          0          1
     binding |      1,046    .5170172    .2530944          0          1
        nfs1 |        547    .6602681    .2452431          0          1
        nfs2 |        547    .6532602    .2427689          0          1
        nfs3 |        547    .4494211    .2505208          0          1
-------------+---------------------------------------------------------
        nfs4 |        547    .7071907     .212149          0          1
        nfs5 |        547    .5877514    .2707003          0          1
        nfs6 |        547    .6956124    .2185092          0          1
        nfs7 |        547    .5374771    .2841762          0          1
        nfs8 |        547    .5597197    .2614658          0          1
-------------+---------------------------------------------------------
        nfs9 |        547    .6407678    .2464431          0          1
       nfs10 |        547     .686167     .238333          0          1
       nfs11 |        547    .6237051    .2479725          0          1
       nfs12 |        547    .5286411    .2662931          0          1
   nfs_scale |        547    .6108318    .1562858   .0833333          1
-------------+---------------------------------------------------------
     polint1 |      8,966    .7321362    .3042708          0          1
     polint2 |      8,510     .701494    .3196247          0          1
     polint3 |      4,748    .7479641    .2842968          0          1
     polint4 |      3,705    .8405758    .2598261          0          1
     polint5 |      3,459    .8330924    .2594371          0          1
-------------+---------------------------------------------------------
     polint6 |      3,710    .8579515      .24595          0          1
polint_scale |      8,994    .7129823    .2848556          0          1
    polknow1 |      8,472    .6962937    .4598845          0          1
    polknow2 |      8,481     .744016    .4364386          0          1
    polknow3 |      8,480    .7207547    .4486548          0          1
-------------+---------------------------------------------------------
    polknow4 |      9,280    .7272629    .4453908          0          1
    polknow5 |      9,282    .7772032    .4161455          0          1
    polknow6 |      7,250    .6113103    .4874862          0          1
    polknow7 |      6,234    .7584216    .4280744          0          1
    polknow8 |      2,752    .5864826    .4925535          0          1
-------------+---------------------------------------------------------
polknow_sc~e |      9,288    .7040614    .2874341          0          1
polengage_~e |      9,941    .7047667    .2533009          0          1
   dv_travel |      1,906    .7423924    .4374315          0          1
dv_work_home |      1,897    .6678967     .471092          0          1
dv_wash_ha~s |      1,938    .9375645    .2420073          0          1
-------------+---------------------------------------------------------
dv_avoid_d~e |      1,929    .8227061    .3820163          0          1
dv_cancel_~t |      1,913    .7909043    .4067692          0          1
 dv_sanitize |      1,922    .9391259    .2391614          0          1
dv_distanc~1 |      2,056    .7189932    .2797599          0          1
dv_distanc~2 |      2,055    .6698297    .3153254          0          1
-------------+---------------------------------------------------------
dv_distanc~g |      4,993    .7745594    .3186998          0          1
 dv_masking1 |      2,052    .7023635     .329299          0          1
 dv_masking2 |      2,051    .5102389    .3719822          0          1
  dv_masking |      4,982    .7967433    .3069145          0          1
dv_vaxstatus |      2,040    .6776961    .4502384          0          1
-------------+---------------------------------------------------------
 dv_behavior |      5,004    .7652523    .2530405          0          1
  dv_concern |      6,483    .5753226    .3276629          0          1
dv_busines~s |      6,866    .6410331    .3533421          0          1
 dv_tracking |      3,095    .3156166    .3433115          0          1
dv_lockdowns |      3,121    .6457332    .3357122          0          1
-------------+---------------------------------------------------------
dv_mmindoors |      2,110    .7165087    .3282025          0          1
dv_mmoutdo~s |      2,100    .5518254    .3588006          0          1
dv_maskman~s |      3,115    .6875869     .322388          0          1
dv_vaxmand~e |      2,079    .5530704    .3891234          0          1
dv_statere~t |      3,744    .6161859    .4863785          0          1
-------------+---------------------------------------------------------
dv_cancele~s |      3,744    .6912838    .3710847          0          1
  dv_schools |      3,744    .5647258    .3847716          0          1
 dv_workhome |      3,743    .7428088    .3240373          0          1
dv_travelr~t |      3,743    .4892243    .3802338          0          1
 dv_stayhome |      3,742    .6426599    .3715042          0          1
-------------+---------------------------------------------------------
dv_testing~q |      3,743    .7408941    .3086171          0          1
dv_restric~s |      6,871    .6109978    .3044926          0          1
        vax1 |      1,950    .5991453     .316623          0          1
        vax2 |      1,949    .7655208    .2786296          0          1
        vax3 |      1,950    .8105128     .246301          0          1
-------------+---------------------------------------------------------
        vax4 |      1,948     .675308    .2902219          0          1
        vax5 |      1,944    .7463134    .2891712          0          1
   vax_scale |      1,952    .7192964    .1793611         .1          1
    infected |          0
  latentnsc1 |      1,046    .4583892     .184273          0          1
-------------+---------------------------------------------------------
  latentnsc2 |      1,046    .4555281    .2029025          0          1
    race_num |      9,898    1.482825     .911657          1          4
  sample_num |     10,223     4.30089    1.639862          1          6
   state_num |      9,128    25.07395    14.92741          1         51
     state_1 |     10,223    .0025942    .0494066          0          1
-------------+---------------------------------------------------------
     state_2 |     10,223    .0137921    .1122001          0          1
     state_3 |     10,223     .009433    .0945688          0          1
     state_4 |     10,223    .0258184    .1543797          0          1
     state_5 |     10,223    .0914405    .2845732          0          1
     state_6 |     10,223    .0175381    .1268181          0          1
-------------+---------------------------------------------------------
     state_7 |     10,223    .0096312     .093983          0          1
     state_8 |     10,223    .0030127    .0531956          0          1
     state_9 |     10,223    .0039709    .0608729          0          1
    state_10 |     10,223    .0759445    .2578095          0          1
    state_11 |     10,223    .0332626    .1728022          0          1
-------------+---------------------------------------------------------
    state_12 |     10,223    .0041092    .0616959          0          1
    state_13 |     10,223    .0101926    .0978406          0          1
    state_14 |     10,223    .0062478    .0759473          0          1
    state_15 |     10,223    .0371944    .1803169          0          1
    state_16 |     10,223    .0200027    .1324839          0          1
-------------+---------------------------------------------------------
    state_17 |     10,223    .0095576    .0947878          0          1
    state_18 |     10,223    .0135522    .1114798          0          1
    state_19 |     10,223    .0102565    .0977676          0          1
    state_20 |     10,223    .0192323    .1337562          0          1
    state_21 |     10,223    .0185049    .1293436          0          1
-------------+---------------------------------------------------------
    state_22 |     10,223    .0048522     .067144          0          1
    state_23 |     10,223    .0318341    .1673873          0          1
    state_24 |     10,223    .0143879    .1156891          0          1
    state_25 |     10,223    .0196574    .1357797          0          1
    state_26 |     10,223    .0071643    .0801905          0          1
-------------+---------------------------------------------------------
    state_27 |     10,223    .0036067     .057666          0          1
    state_28 |     10,223    .0298674    .1634827          0          1
    state_29 |     10,223    .0018108    .0408059          0          1
    state_30 |     10,223    .0060461    .0753079          0          1
    state_31 |     10,223    .0048561     .067149          0          1
-------------+---------------------------------------------------------
    state_32 |     10,223    .0271403    .1578577          0          1
    state_33 |     10,223    .0062823    .0744255          0          1
    state_34 |     10,223    .0105263    .0995706          0          1
    state_35 |     10,223    .0634169     .239227          0          1
    state_36 |     10,223    .0366408    .1793697          0          1
-------------+---------------------------------------------------------
    state_37 |     10,223    .0095692    .0946782          0          1
    state_38 |     10,223    .0133786    .1114037          0          1
    state_39 |     10,223    .0479532    .2093071          0          1
    state_40 |     10,223    .0034143     .056031          0          1
    state_41 |     10,223    .0142219     .113192          0          1
-------------+---------------------------------------------------------
    state_42 |     10,223    .0030052    .0532437          0          1
    state_43 |     10,223    .0190971    .1323742          0          1
    state_44 |     10,223    .0686577    .2505065          0          1
    state_45 |     10,223    .0089666    .0902809          0          1
    state_46 |     10,223    .0244149    .1479849          0          1
-------------+---------------------------------------------------------
    state_47 |     10,223    .0027096    .0504307          0          1
    state_48 |     10,223    .0233706    .1466041          0          1
    state_49 |     10,223    .0203729    .1346761          0          1
    state_50 |     10,223    .0072081    .0819183          0          1
    state_51 |     10,223    .0020077    .0431063          0          1

. 
end of do-file

. sum latentnsc2, det

                         latentnsc2
-------------------------------------------------------------
      Percentiles      Smallest
 1%     .0155201              0
 5%     .0553126       .0043632
10%     .1453914       .0071583       Obs               1,046
25%     .3387757       .0073306       Sum of wgt.       1,046

50%     .4893718                      Mean           .4555281
                        Largest       Std. dev.      .2029025
75%     .5534478       .9438711
90%     .7083806       .9544292       Variance       .0411694
95%     .7823676       .9549724       Skewness      -.2249455
99%     .9129034              1       Kurtosis       2.952598

. tab latentnsc2

 latentnsc2 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |          1        0.10        0.10
   .0043632 |          1        0.10        0.19
   .0071583 |          1        0.10        0.29
   .0073306 |          1        0.10        0.38
   .0082405 |          1        0.10        0.48
   .0101795 |          1        0.10        0.57
   .0114322 |          1        0.10        0.67
   .0125319 |          1        0.10        0.76
   .0132194 |          1        0.10        0.86
   .0137686 |          1        0.10        0.96
   .0155201 |          1        0.10        1.05
   .0188051 |          1        0.10        1.15
   .0190607 |          1        0.10        1.24
   .0191172 |          1        0.10        1.34
   .0199983 |          1        0.10        1.43
   .0203618 |          1        0.10        1.53
   .0206289 |          1        0.10        1.63
   .0214811 |          1        0.10        1.72
    .022938 |          1        0.10        1.82
   .0255595 |          1        0.10        1.91
   .0259573 |          1        0.10        2.01
   .0272662 |          1        0.10        2.10
   .0294319 |          1        0.10        2.20
   .0294608 |          1        0.10        2.29
   .0317818 |          1        0.10        2.39
   .0320224 |          1        0.10        2.49
   .0320699 |          1        0.10        2.58
   .0325351 |          1        0.10        2.68
   .0331049 |          1        0.10        2.77
    .034235 |          1        0.10        2.87
   .0343435 |          1        0.10        2.96
   .0348103 |          1        0.10        3.06
   .0376909 |          1        0.10        3.15
   .0380002 |          1        0.10        3.25
   .0380866 |          1        0.10        3.35
   .0381801 |          1        0.10        3.44
   .0394684 |          1        0.10        3.54
   .0398805 |          1        0.10        3.63
   .0402701 |          1        0.10        3.73
   .0413321 |          1        0.10        3.82
   .0415104 |          1        0.10        3.92
   .0431073 |          1        0.10        4.02
   .0436919 |          1        0.10        4.11
   .0442549 |          1        0.10        4.21
   .0460252 |          1        0.10        4.30
   .0474054 |          1        0.10        4.40
   .0497828 |          1        0.10        4.49
   .0498019 |          1        0.10        4.59
   .0516716 |          1        0.10        4.68
   .0523794 |          1        0.10        4.78
   .0540949 |          1        0.10        4.88
   .0544772 |          1        0.10        4.97
   .0553126 |          1        0.10        5.07
   .0555052 |          1        0.10        5.16
   .0571183 |          1        0.10        5.26
   .0594363 |          1        0.10        5.35
   .0609597 |          1        0.10        5.45
   .0613421 |          1        0.10        5.54
   .0618082 |          1        0.10        5.64
   .0621385 |          1        0.10        5.74
   .0633563 |          1        0.10        5.83
   .0648134 |          1        0.10        5.93
   .0654066 |          1        0.10        6.02
    .067192 |          1        0.10        6.12
   .0676156 |          1        0.10        6.21
   .0705303 |          1        0.10        6.31
   .0737258 |          1        0.10        6.41
   .0796056 |          1        0.10        6.50
   .0838735 |          1        0.10        6.60
   .0864072 |          1        0.10        6.69
    .088658 |          1        0.10        6.79
   .0925564 |          1        0.10        6.88
   .0926179 |          1        0.10        6.98
   .0938458 |          1        0.10        7.07
   .0946496 |          1        0.10        7.17
   .0950176 |          1        0.10        7.27
   .0976645 |          1        0.10        7.36
   .0995987 |          1        0.10        7.46
   .1009602 |          1        0.10        7.55
   .1045573 |          1        0.10        7.65
   .1059791 |          1        0.10        7.74
   .1066285 |          1        0.10        7.84
   .1069694 |          1        0.10        7.93
   .1080288 |          1        0.10        8.03
   .1087339 |          1        0.10        8.13
   .1189805 |          1        0.10        8.22
    .124676 |          1        0.10        8.32
   .1256054 |          1        0.10        8.41
   .1258762 |          1        0.10        8.51
   .1266375 |          1        0.10        8.60
   .1288183 |          1        0.10        8.70
   .1293315 |          1        0.10        8.80
   .1308968 |          1        0.10        8.89
   .1325597 |          1        0.10        8.99
   .1352033 |          1        0.10        9.08
    .135555 |          1        0.10        9.18
   .1364807 |          1        0.10        9.27
   .1365261 |          1        0.10        9.37
   .1387644 |          1        0.10        9.46
   .1399899 |          1        0.10        9.56
   .1403667 |          1        0.10        9.66
    .141037 |          1        0.10        9.75
   .1413413 |          1        0.10        9.85
   .1447156 |          1        0.10        9.94
   .1453914 |          1        0.10       10.04
   .1454534 |          1        0.10       10.13
   .1456715 |          1        0.10       10.23
   .1456868 |          1        0.10       10.33
   .1460837 |          1        0.10       10.42
   .1504705 |          1        0.10       10.52
   .1510157 |          1        0.10       10.61
   .1532306 |          1        0.10       10.71
   .1573406 |          1        0.10       10.80
   .1588123 |          1        0.10       10.90
   .1604805 |          1        0.10       10.99
   .1610156 |          1        0.10       11.09
   .1613087 |          1        0.10       11.19
   .1655279 |          1        0.10       11.28
   .1691764 |          1        0.10       11.38
   .1699506 |          1        0.10       11.47
   .1717427 |          1        0.10       11.57
   .1723834 |          1        0.10       11.66
   .1735407 |          1        0.10       11.76
    .177873 |          1        0.10       11.85
   .1832348 |          1        0.10       11.95
   .1839324 |          1        0.10       12.05
   .1852234 |          1        0.10       12.14
   .1854049 |          1        0.10       12.24
   .1857644 |          1        0.10       12.33
   .1858318 |          1        0.10       12.43
   .1870615 |          1        0.10       12.52
   .1870822 |          1        0.10       12.62
   .1872338 |          1        0.10       12.72
   .1897432 |          1        0.10       12.81
   .1921191 |          1        0.10       12.91
   .1921275 |          1        0.10       13.00
   .1940137 |          1        0.10       13.10
    .194025 |          1        0.10       13.19
   .1969723 |          1        0.10       13.29
   .1988396 |          1        0.10       13.38
    .199005 |          1        0.10       13.48
   .2014186 |          1        0.10       13.58
   .2018222 |          1        0.10       13.67
   .2019072 |          1        0.10       13.77
   .2035279 |          1        0.10       13.86
   .2076879 |          1        0.10       13.96
   .2078918 |          1        0.10       14.05
   .2084229 |          1        0.10       14.15
   .2090729 |          1        0.10       14.24
   .2096178 |          1        0.10       14.34
   .2110469 |          1        0.10       14.44
   .2126466 |          1        0.10       14.53
   .2127809 |          1        0.10       14.63
   .2173103 |          1        0.10       14.72
   .2217113 |          1        0.10       14.82
   .2234026 |          1        0.10       14.91
   .2244486 |          1        0.10       15.01
   .2252739 |          1        0.10       15.11
   .2292446 |          1        0.10       15.20
   .2301407 |          1        0.10       15.30
   .2323268 |          1        0.10       15.39
   .2347707 |          1        0.10       15.49
   .2351157 |          1        0.10       15.58
   .2364086 |          1        0.10       15.68
   .2383058 |          1        0.10       15.77
   .2407626 |          1        0.10       15.87
   .2418952 |          1        0.10       15.97
   .2421159 |          1        0.10       16.06
   .2424366 |          1        0.10       16.16
   .2435792 |          1        0.10       16.25
    .244551 |          1        0.10       16.35
   .2458632 |          1        0.10       16.44
   .2500499 |          1        0.10       16.54
   .2503892 |          1        0.10       16.63
    .250724 |          1        0.10       16.73
   .2508261 |          1        0.10       16.83
   .2515843 |          1        0.10       16.92
   .2531077 |          1        0.10       17.02
   .2537938 |          1        0.10       17.11
   .2558669 |          1        0.10       17.21
   .2565711 |          1        0.10       17.30
   .2584231 |          1        0.10       17.40
   .2589051 |          1        0.10       17.50
   .2606268 |          1        0.10       17.59
   .2623544 |          1        0.10       17.69
    .263038 |          1        0.10       17.78
   .2636667 |          1        0.10       17.88
   .2636914 |          1        0.10       17.97
   .2637331 |          1        0.10       18.07
   .2644353 |          1        0.10       18.16
    .264532 |          1        0.10       18.26
   .2677429 |          1        0.10       18.36
   .2682978 |          1        0.10       18.45
   .2686425 |          1        0.10       18.55
   .2692857 |          1        0.10       18.64
   .2723234 |          1        0.10       18.74
   .2757608 |          1        0.10       18.83
   .2780228 |          1        0.10       18.93
    .278617 |          1        0.10       19.02
   .2809278 |          1        0.10       19.12
   .2825115 |          1        0.10       19.22
   .2843587 |          1        0.10       19.31
   .2856547 |          1        0.10       19.41
   .2857341 |          1        0.10       19.50
   .2858769 |          1        0.10       19.60
    .286183 |          1        0.10       19.69
   .2865133 |          1        0.10       19.79
   .2865557 |          1        0.10       19.89
   .2874725 |          1        0.10       19.98
   .2877665 |          1        0.10       20.08
    .289069 |          1        0.10       20.17
    .290175 |          1        0.10       20.27
   .2902284 |          1        0.10       20.36
   .2909507 |          1        0.10       20.46
   .2912409 |          1        0.10       20.55
   .2913352 |          1        0.10       20.65
   .2918289 |          1        0.10       20.75
   .2919723 |          1        0.10       20.84
   .2931478 |          1        0.10       20.94
   .2935475 |          1        0.10       21.03
   .2952307 |          1        0.10       21.13
   .2954822 |          1        0.10       21.22
   .2965614 |          1        0.10       21.32
   .2967887 |          1        0.10       21.41
   .2968013 |          1        0.10       21.51
   .2982565 |          1        0.10       21.61
   .2987675 |          1        0.10       21.70
   .2990031 |          1        0.10       21.80
   .2995158 |          1        0.10       21.89
   .3025458 |          1        0.10       21.99
   .3039842 |          1        0.10       22.08
   .3057027 |          1        0.10       22.18
   .3087531 |          1        0.10       22.28
   .3095187 |          1        0.10       22.37
   .3096528 |          1        0.10       22.47
    .311445 |          1        0.10       22.56
   .3147392 |          1        0.10       22.66
   .3153231 |          1        0.10       22.75
    .315355 |          1        0.10       22.85
   .3160187 |          1        0.10       22.94
   .3164135 |          1        0.10       23.04
   .3171101 |          1        0.10       23.14
   .3179152 |          1        0.10       23.23
   .3179593 |          1        0.10       23.33
    .319079 |          1        0.10       23.42
    .320173 |          1        0.10       23.52
   .3209548 |          1        0.10       23.61
   .3216493 |          1        0.10       23.71
   .3239211 |          1        0.10       23.80
   .3256991 |          1        0.10       23.90
   .3257875 |          1        0.10       24.00
   .3291175 |          1        0.10       24.09
   .3309993 |          1        0.10       24.19
   .3319128 |          1        0.10       24.28
   .3328383 |          1        0.10       24.38
   .3328391 |          1        0.10       24.47
   .3376605 |          1        0.10       24.57
   .3376827 |          1        0.10       24.67
   .3379785 |          1        0.10       24.76
    .338021 |          1        0.10       24.86
   .3382972 |          1        0.10       24.95
   .3387757 |          1        0.10       25.05
   .3408838 |          1        0.10       25.14
   .3414733 |          1        0.10       25.24
    .341642 |          1        0.10       25.33
    .342086 |          1        0.10       25.43
   .3425594 |          1        0.10       25.53
   .3436884 |          1        0.10       25.62
   .3438636 |          1        0.10       25.72
   .3446756 |          1        0.10       25.81
    .345097 |          1        0.10       25.91
   .3452783 |          1        0.10       26.00
   .3466672 |          1        0.10       26.10
    .346932 |          1        0.10       26.20
   .3475978 |          1        0.10       26.29
   .3495238 |          1        0.10       26.39
   .3519499 |          1        0.10       26.48
   .3528068 |          1        0.10       26.58
   .3537124 |          1        0.10       26.67
   .3553881 |          1        0.10       26.77
   .3592223 |          1        0.10       26.86
    .360609 |          1        0.10       26.96
    .360938 |          1        0.10       27.06
   .3615133 |          1        0.10       27.15
   .3626959 |          1        0.10       27.25
    .362826 |          1        0.10       27.34
   .3634424 |          1        0.10       27.44
   .3634919 |          1        0.10       27.53
   .3644393 |          1        0.10       27.63
   .3649153 |          1        0.10       27.72
   .3652119 |          1        0.10       27.82
   .3660511 |          1        0.10       27.92
    .367258 |          1        0.10       28.01
   .3678347 |          1        0.10       28.11
   .3679952 |          1        0.10       28.20
    .368911 |          1        0.10       28.30
   .3698425 |          1        0.10       28.39
   .3700932 |          1        0.10       28.49
   .3723015 |          1        0.10       28.59
   .3729311 |          1        0.10       28.68
   .3733685 |          1        0.10       28.78
   .3754575 |          1        0.10       28.87
   .3769613 |          1        0.10       28.97
   .3773296 |          1        0.10       29.06
   .3775889 |          1        0.10       29.16
   .3778092 |          1        0.10       29.25
   .3779042 |          1        0.10       29.35
   .3785922 |          1        0.10       29.45
    .379387 |          1        0.10       29.54
   .3796237 |          1        0.10       29.64
   .3799128 |          1        0.10       29.73
   .3801957 |          1        0.10       29.83
   .3816641 |          1        0.10       29.92
   .3820462 |          1        0.10       30.02
   .3826756 |          1        0.10       30.11
   .3832662 |          1        0.10       30.21
   .3832912 |          1        0.10       30.31
   .3841642 |          1        0.10       30.40
   .3849391 |          1        0.10       30.50
   .3856161 |          1        0.10       30.59
    .386112 |          1        0.10       30.69
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   .5527159 |          1        0.10       74.86
   .5534227 |          1        0.10       74.95
   .5534478 |          1        0.10       75.05
   .5552257 |          1        0.10       75.14
   .5554865 |          1        0.10       75.24
   .5557159 |          1        0.10       75.33
   .5561232 |          1        0.10       75.43
   .5562093 |          1        0.10       75.53
   .5565336 |          1        0.10       75.62
    .557363 |          1        0.10       75.72
   .5578429 |          1        0.10       75.81
   .5582723 |          1        0.10       75.91
   .5587414 |          1        0.10       76.00
   .5589533 |          1        0.10       76.10
   .5606058 |          1        0.10       76.20
   .5612692 |          1        0.10       76.29
   .5616153 |          1        0.10       76.39
   .5630076 |          1        0.10       76.48
   .5630322 |          1        0.10       76.58
   .5643865 |          1        0.10       76.67
   .5658561 |          1        0.10       76.77
   .5673311 |          1        0.10       76.86
   .5684528 |          1        0.10       76.96
   .5685776 |          1        0.10       77.06
   .5689317 |          1        0.10       77.15
   .5692883 |          1        0.10       77.25
   .5694581 |          1        0.10       77.34
   .5696345 |          1        0.10       77.44
   .5698602 |          1        0.10       77.53
   .5703948 |          1        0.10       77.63
   .5712104 |          1        0.10       77.72
   .5716033 |          1        0.10       77.82
   .5736716 |          1        0.10       77.92
    .574503 |          1        0.10       78.01
   .5761676 |          1        0.10       78.11
   .5763823 |          1        0.10       78.20
   .5766343 |          1        0.10       78.30
   .5769548 |          1        0.10       78.39
   .5776075 |          1        0.10       78.49
   .5786632 |          1        0.10       78.59
   .5795993 |          1        0.10       78.68
   .5796007 |          1        0.10       78.78
   .5809108 |          1        0.10       78.87
   .5809587 |          1        0.10       78.97
   .5818499 |          1        0.10       79.06
   .5829151 |          1        0.10       79.16
   .5830464 |          1        0.10       79.25
   .5833194 |          1        0.10       79.35
   .5846376 |          1        0.10       79.45
   .5846654 |          1        0.10       79.54
   .5848385 |          1        0.10       79.64
   .5852806 |          1        0.10       79.73
   .5858574 |          1        0.10       79.83
   .5872039 |          1        0.10       79.92
   .5884895 |          1        0.10       80.02
   .5890795 |          1        0.10       80.11
   .5893128 |          1        0.10       80.21
   .5893276 |          1        0.10       80.31
   .5895195 |          1        0.10       80.40
   .5935044 |          1        0.10       80.50
   .5938297 |          1        0.10       80.59
   .5952635 |          1        0.10       80.69
   .5983186 |          1        0.10       80.78
   .6027806 |          1        0.10       80.88
   .6037747 |          1        0.10       80.98
   .6050352 |          1        0.10       81.07
     .60542 |          1        0.10       81.17
   .6068678 |          1        0.10       81.26
    .609168 |          1        0.10       81.36
   .6095188 |          1        0.10       81.45
   .6111635 |          1        0.10       81.55
   .6114961 |          1        0.10       81.64
   .6119233 |          1        0.10       81.74
   .6137572 |          1        0.10       81.84
   .6139053 |          1        0.10       81.93
   .6140031 |          1        0.10       82.03
   .6151619 |          1        0.10       82.12
   .6152544 |          1        0.10       82.22
   .6154353 |          1        0.10       82.31
   .6159444 |          1        0.10       82.41
   .6160471 |          1        0.10       82.50
    .616852 |          1        0.10       82.60
   .6168945 |          1        0.10       82.70
   .6174426 |          1        0.10       82.79
   .6202045 |          1        0.10       82.89
   .6206669 |          1        0.10       82.98
   .6208261 |          1        0.10       83.08
   .6228449 |          1        0.10       83.17
   .6234411 |          1        0.10       83.27
     .62446 |          1        0.10       83.37
   .6266479 |          1        0.10       83.46
   .6287391 |          1        0.10       83.56
   .6287951 |          1        0.10       83.65
   .6291454 |          1        0.10       83.75
   .6291876 |          1        0.10       83.84
   .6292964 |          1        0.10       83.94
   .6297546 |          1        0.10       84.03
   .6300032 |          1        0.10       84.13
   .6309698 |          1        0.10       84.23
   .6332876 |          1        0.10       84.32
   .6348812 |          1        0.10       84.42
   .6355466 |          1        0.10       84.51
   .6360321 |          1        0.10       84.61
   .6383037 |          1        0.10       84.70
   .6387155 |          1        0.10       84.80
   .6398171 |          1        0.10       84.89
   .6412217 |          1        0.10       84.99
   .6422729 |          1        0.10       85.09
    .642508 |          1        0.10       85.18
    .644305 |          1        0.10       85.28
   .6458102 |          1        0.10       85.37
   .6459193 |          1        0.10       85.47
   .6468595 |          1        0.10       85.56
   .6486056 |          1        0.10       85.66
   .6524219 |          1        0.10       85.76
   .6555811 |          1        0.10       85.85
   .6590966 |          1        0.10       85.95
   .6592552 |          1        0.10       86.04
    .661064 |          1        0.10       86.14
   .6626444 |          1        0.10       86.23
   .6656695 |          1        0.10       86.33
   .6673462 |          1        0.10       86.42
    .667517 |          1        0.10       86.52
   .6700985 |          1        0.10       86.62
    .671165 |          1        0.10       86.71
   .6723225 |          1        0.10       86.81
   .6739271 |          1        0.10       86.90
   .6759631 |          1        0.10       87.00
    .676791 |          1        0.10       87.09
   .6793717 |          1        0.10       87.19
   .6794314 |          1        0.10       87.28
   .6795102 |          1        0.10       87.38
   .6800111 |          1        0.10       87.48
   .6809947 |          1        0.10       87.57
   .6813989 |          1        0.10       87.67
    .681856 |          1        0.10       87.76
   .6821808 |          1        0.10       87.86
   .6832113 |          1        0.10       87.95
    .684954 |          1        0.10       88.05
   .6879276 |          1        0.10       88.15
   .6903438 |          1        0.10       88.24
   .6905258 |          1        0.10       88.34
   .6920916 |          1        0.10       88.43
   .6924988 |          1        0.10       88.53
    .692654 |          1        0.10       88.62
   .6929566 |          1        0.10       88.72
   .6931348 |          1        0.10       88.81
    .695067 |          1        0.10       88.91
    .695271 |          1        0.10       89.01
   .6980797 |          1        0.10       89.10
   .7006514 |          1        0.10       89.20
   .7038425 |          1        0.10       89.29
   .7040025 |          1        0.10       89.39
   .7049616 |          1        0.10       89.48
   .7051202 |          1        0.10       89.58
   .7055319 |          1        0.10       89.67
   .7062917 |          1        0.10       89.77
   .7065915 |          1        0.10       89.87
   .7067146 |          1        0.10       89.96
   .7083806 |          1        0.10       90.06
   .7129833 |          1        0.10       90.15
   .7141012 |          1        0.10       90.25
   .7141862 |          1        0.10       90.34
   .7155861 |          1        0.10       90.44
   .7167044 |          1        0.10       90.54
   .7172639 |          1        0.10       90.63
   .7198681 |          1        0.10       90.73
   .7215108 |          1        0.10       90.82
   .7241996 |          1        0.10       90.92
   .7266158 |          1        0.10       91.01
   .7266603 |          1        0.10       91.11
   .7272508 |          1        0.10       91.20
   .7292062 |          1        0.10       91.30
   .7315901 |          1        0.10       91.40
   .7321798 |          1        0.10       91.49
   .7328337 |          1        0.10       91.59
   .7335396 |          1        0.10       91.68
   .7346875 |          1        0.10       91.78
   .7369333 |          1        0.10       91.87
   .7371927 |          1        0.10       91.97
   .7372873 |          1        0.10       92.07
   .7394203 |          1        0.10       92.16
   .7428455 |          1        0.10       92.26
   .7444793 |          1        0.10       92.35
    .746215 |          1        0.10       92.45
   .7490268 |          1        0.10       92.54
   .7494843 |          1        0.10       92.64
   .7516233 |          1        0.10       92.73
   .7516846 |          1        0.10       92.83
   .7520148 |          1        0.10       92.93
   .7526934 |          1        0.10       93.02
   .7534106 |          1        0.10       93.12
   .7536215 |          1        0.10       93.21
   .7539605 |          1        0.10       93.31
   .7542664 |          1        0.10       93.40
   .7548708 |          1        0.10       93.50
   .7552932 |          1        0.10       93.59
   .7554467 |          1        0.10       93.69
   .7556159 |          1        0.10       93.79
   .7592682 |          1        0.10       93.88
   .7597829 |          1        0.10       93.98
   .7627293 |          1        0.10       94.07
   .7658963 |          1        0.10       94.17
   .7704151 |          1        0.10       94.26
   .7705323 |          1        0.10       94.36
   .7711696 |          1        0.10       94.46
   .7724411 |          1        0.10       94.55
    .772498 |          1        0.10       94.65
   .7737482 |          1        0.10       94.74
   .7773818 |          1        0.10       94.84
   .7801805 |          1        0.10       94.93
   .7823676 |          1        0.10       95.03
   .7824579 |          1        0.10       95.12
   .7915004 |          1        0.10       95.22
   .7915164 |          1        0.10       95.32
   .7916786 |          1        0.10       95.41
   .7922834 |          1        0.10       95.51
   .7971745 |          1        0.10       95.60
   .7991066 |          1        0.10       95.70
   .8005445 |          1        0.10       95.79
   .8026583 |          1        0.10       95.89
    .806105 |          1        0.10       95.98
   .8080388 |          1        0.10       96.08
   .8094411 |          1        0.10       96.18
   .8095179 |          1        0.10       96.27
   .8106519 |          1        0.10       96.37
   .8125545 |          1        0.10       96.46
   .8177244 |          1        0.10       96.56
   .8308307 |          1        0.10       96.65
   .8395483 |          1        0.10       96.75
   .8437917 |          1        0.10       96.85
   .8467978 |          1        0.10       96.94
   .8482871 |          1        0.10       97.04
   .8498326 |          1        0.10       97.13
   .8499301 |          1        0.10       97.23
   .8567914 |          1        0.10       97.32
   .8664002 |          1        0.10       97.42
   .8759778 |          1        0.10       97.51
   .8808667 |          1        0.10       97.61
   .8817185 |          1        0.10       97.71
   .8857073 |          1        0.10       97.80
   .8859075 |          1        0.10       97.90
    .887406 |          1        0.10       97.99
   .8886543 |          1        0.10       98.09
   .8905326 |          1        0.10       98.18
   .8972461 |          1        0.10       98.28
   .8979377 |          1        0.10       98.37
   .9049079 |          1        0.10       98.47
   .9049104 |          1        0.10       98.57
   .9085542 |          1        0.10       98.66
   .9092834 |          1        0.10       98.76
   .9112399 |          1        0.10       98.85
   .9115636 |          1        0.10       98.95
   .9129034 |          1        0.10       99.04
   .9158859 |          1        0.10       99.14
   .9212517 |          1        0.10       99.24
   .9391774 |          1        0.10       99.33
   .9401483 |          1        0.10       99.43
   .9406919 |          1        0.10       99.52
   .9408924 |          1        0.10       99.62
   .9438711 |          1        0.10       99.71
   .9544292 |          1        0.10       99.81
   .9549724 |          1        0.10       99.90
          1 |          1        0.10      100.00
------------+-----------------------------------
      Total |      1,046      100.00

. sum latentnsc2, det

                         latentnsc2
-------------------------------------------------------------
      Percentiles      Smallest
 1%     .0155201              0
 5%     .0553126       .0043632
10%     .1453914       .0071583       Obs               1,046
25%     .3387757       .0073306       Sum of wgt.       1,046

50%     .4893718                      Mean           .4555281
                        Largest       Std. dev.      .2029025
75%     .5534478       .9438711
90%     .7083806       .9544292       Variance       .0411694
95%     .7823676       .9549724       Skewness      -.2249455
99%     .9129034              1       Kurtosis       2.952598

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001q.tmp"

. sum auth_scale, det

                         auth_scale
-------------------------------------------------------------
      Percentiles      Smallest
 1%            0              0
 5%            0              0
10%            0              0       Obs               8,838
25%          .25              0       Sum of wgt.       8,838

50%           .5                      Mean           .4921391
                        Largest       Std. dev.       .320342
75%          .75              1
90%            1              1       Variance        .102619
95%            1              1       Skewness      -.0059802
99%            1              1       Kurtosis       1.951514

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001r.tmp"

. sum latentnsc2, det //

                         latentnsc2
-------------------------------------------------------------
      Percentiles      Smallest
 1%     .0155201              0
 5%     .0553126       .0043632
10%     .1453914       .0071583       Obs               1,046
25%     .3387757       .0073306       Sum of wgt.       1,046

50%     .4893718                      Mean           .4555281
                        Largest       Std. dev.      .2029025
75%     .5534478       .9438711
90%     .7083806       .9544292       Variance       .0411694
95%     .7823676       .9549724       Skewness      -.2249455
99%     .9129034              1       Kurtosis       2.952598

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001s.tmp"

. 
. * Session setup
. version 18

. clear all

. set more off

. 
. import excel "pooled_data.xlsx", sheet("Sheet1") firstrow clear
(190 vars, 10,223 obs)

. describe

Contains data
 Observations:        10,223                  
    Variables:           190                  
----------------------------------------------------------------------------------------------------------------------------------------------------------
Variable      Storage   Display    Value
    name         type    format    label      Variable label
----------------------------------------------------------------------------------------------------------------------------------------------------------
sample          str9    %9s                   sample
year            int     %10.0g                year
age             double  %10.0g                age
male            byte    %10.0g                male
white           byte    %10.0g                white
black           byte    %10.0g                black
hispanic        byte    %10.0g                hispanic
otherrace       byte    %10.0g                otherrace
race            byte    %10.0g                race
income          double  %10.0g                income
education       double  %10.0g                education
ipaddress       double  %10.0g                ipaddress
zip             str5    %9s                   zip
state           str2    %9s                   state
region          byte    %10.0g                region
south           byte    %10.0g                south
pid             double  %10.0g                pid
ideo            double  %10.0g                ideo
auth1           double  %10.0g                auth1
auth2           double  %10.0g                auth2
auth3           double  %10.0g                auth3
auth4           double  %10.0g                auth4
auth5           byte    %10.0g                auth5
auth6           byte    %10.0g                auth6
auth7           byte    %10.0g                auth7
auth8           byte    %10.0g                auth8
auth_scale      double  %10.0g                auth_scale
consc1          double  %10.0g                consc1
consc2          double  %10.0g                consc2
consc3          double  %10.0g                consc3
consc_scale     double  %10.0g                consc_scale
open1           double  %10.0g                open1
open2           double  %10.0g                open2
open3           double  %10.0g                open3
open4           double  %10.0g                open4
open5           double  %10.0g                open5
open6           double  %10.0g                open6
open_scale      double  %10.0g                open_scale
rwa1            double  %10.0g                rwa1
rwa2            double  %10.0g                rwa2
rwa3            double  %10.0g                rwa3
rwa4            double  %10.0g                rwa4
rwa5            double  %10.0g                rwa5
rwa6            double  %10.0g                rwa6
rwa7            double  %10.0g                rwa7
rwa8            double  %10.0g                rwa8
rwa9            double  %10.0g                rwa9
rwa10           double  %10.0g                rwa10
rwa11           double  %10.0g                rwa11
rwa12           double  %10.0g                rwa12
rwa13           double  %10.0g                rwa13
rwa14           double  %10.0g                rwa14
rwa15           double  %10.0g                rwa15
rwa16           double  %10.0g                rwa16
rwa17           double  %10.0g                rwa17
rwa18           double  %10.0g                rwa18
rwa_scale       double  %10.0g                rwa_scale
authority       double  %10.0g                authority
purity          double  %10.0g                purity
loyalty         double  %10.0g                loyalty
loyal2          double  %10.0g                loyal2
care            double  %10.0g                care
care2           double  %10.0g                care2
fairness        double  %10.0g                fairness
fair2           double  %10.0g                fair2
individualizing double  %10.0g                individualizing
binding         double  %10.0g                binding
nfs1            double  %10.0g                nfs1
nfs2            double  %10.0g                nfs2
nfs3            double  %10.0g                nfs3
nfs4            double  %10.0g                nfs4
nfs5            double  %10.0g                nfs5
nfs6            double  %10.0g                nfs6
nfs7            double  %10.0g                nfs7
nfs8            double  %10.0g                nfs8
nfs9            double  %10.0g                nfs9
nfs10           double  %10.0g                nfs10
nfs11           double  %10.0g                nfs11
nfs12           double  %10.0g                nfs12
nfs_scale       double  %10.0g                nfs_scale
polint1         double  %10.0g                polint1
polint2         double  %10.0g                polint2
polint3         double  %10.0g                polint3
polint4         double  %10.0g                polint4
polint5         double  %10.0g                polint5
polint6         double  %10.0g                polint6
polint_scale    double  %10.0g                polint_scale
polknow1        byte    %10.0g                polknow1
polknow2        byte    %10.0g                polknow2
polknow3        byte    %10.0g                polknow3
polknow4        byte    %10.0g                polknow4
polknow5        byte    %10.0g                polknow5
polknow6        byte    %10.0g                polknow6
polknow7        byte    %10.0g                polknow7
polknow8        byte    %10.0g                polknow8
polknow_scale   double  %10.0g                polknow_scale
polengage_scale double  %10.0g                polengage_scale
dv_travel       byte    %10.0g                dv_travel
dv_work_home    byte    %10.0g                dv_work_home
dv_wash_hands   byte    %10.0g                dv_wash_hands
dv_avoid_dine   byte    %10.0g                dv_avoid_dine
dv_cancel_event byte    %10.0g                dv_cancel_event
dv_sanitize     byte    %10.0g                dv_sanitize
dv_distancing1  double  %10.0g                dv_distancing1
dv_distancing2  double  %10.0g                dv_distancing2
dv_distancing   double  %10.0g                dv_distancing
dv_masking1     double  %10.0g                dv_masking1
dv_masking2     double  %10.0g                dv_masking2
dv_masking      double  %10.0g                dv_masking
dv_vaxstatus    double  %10.0g                dv_vaxstatus
dv_behavior     double  %10.0g                dv_behavior
dv_concern      double  %10.0g                dv_concern
dv_businesses   double  %10.0g                dv_businesses
dv_tracking     double  %10.0g                dv_tracking
dv_lockdowns    double  %10.0g                dv_lockdowns
dv_mmindoors    double  %10.0g                dv_mmindoors
dv_mmoutdoors   double  %10.0g                dv_mmoutdoors
dv_maskmandates double  %10.0g                dv_maskmandates
dv_vaxmandate   double  %10.0g                dv_vaxmandate
dv_staterestr~t byte    %10.0g                dv_staterestrict
dv_cancelevents double  %10.0g                dv_cancelevents
dv_schools      double  %10.0g                dv_schools
dv_workhome     double  %10.0g                dv_workhome
dv_travelrest   double  %10.0g                dv_travelrest
dv_stayhome     double  %10.0g                dv_stayhome
dv_testingreq   double  %10.0g                dv_testingreq
dv_restrictions double  %10.0g                dv_restrictions
vax1            double  %10.0g                vax1
vax2            double  %10.0g                vax2
vax3            double  %10.0g                vax3
vax4            double  %10.0g                vax4
vax5            double  %10.0g                vax5
vax_scale       double  %10.0g                vax_scale
infected        str11   %11s                  infected
latentnsc1      double  %10.0g                latentnsc1
latentnsc2      double  %10.0g                latentnsc2
race_num        byte    %10.0g                race_num
sample_num      byte    %10.0g                sample_num
state_num       byte    %10.0g                state_num
state_1         double  %10.0g                state_1
state_2         double  %10.0g                state_2
state_3         double  %10.0g                state_3
state_4         double  %10.0g                state_4
state_5         double  %10.0g                state_5
state_6         double  %10.0g                state_6
state_7         double  %10.0g                state_7
state_8         double  %10.0g                state_8
state_9         double  %10.0g                state_9
state_10        double  %10.0g                state_10
state_11        double  %10.0g                state_11
state_12        double  %10.0g                state_12
state_13        double  %10.0g                state_13
state_14        double  %10.0g                state_14
state_15        double  %10.0g                state_15
state_16        double  %10.0g                state_16
state_17        double  %10.0g                state_17
state_18        double  %10.0g                state_18
state_19        double  %10.0g                state_19
state_20        double  %10.0g                state_20
state_21        double  %10.0g                state_21
state_22        double  %10.0g                state_22
state_23        double  %10.0g                state_23
state_24        double  %10.0g                state_24
state_25        double  %10.0g                state_25
state_26        double  %10.0g                state_26
state_27        double  %10.0g                state_27
state_28        double  %10.0g                state_28
state_29        double  %10.0g                state_29
state_30        double  %10.0g                state_30
state_31        double  %10.0g                state_31
state_32        double  %10.0g                state_32
state_33        double  %10.0g                state_33
state_34        double  %10.0g                state_34
state_35        double  %10.0g                state_35
state_36        double  %10.0g                state_36
state_37        double  %10.0g                state_37
state_38        double  %10.0g                state_38
state_39        double  %10.0g                state_39
state_40        double  %10.0g                state_40
state_41        double  %10.0g                state_41
state_42        double  %10.0g                state_42
state_43        double  %10.0g                state_43
state_44        double  %10.0g                state_44
state_45        double  %10.0g                state_45
state_46        double  %10.0g                state_46
state_47        double  %10.0g                state_47
state_48        double  %10.0g                state_48
state_49        double  %10.0g                state_49
state_50        double  %10.0g                state_50
state_51        double  %10.0g                state_51
----------------------------------------------------------------------------------------------------------------------------------------------------------
Sorted by: 
     Note: Dataset has changed since last saved.

. summarize

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
      sample |          0
        year |     10,223    2020.022    .9777955       2016       2021
         age |      9,666    .4202272    .2116944          0          1
        male |      9,681    .4680302    .4990027          0          1
       white |      9,898    .7424732     .437294          0          1
-------------+---------------------------------------------------------
       black |      9,898    .0975955    .2967819          0          1
    hispanic |      9,933     .094332    .2923048          0          1
   otherrace |      9,928    .0746374    .2628186          0          1
        race |      9,898    1.221358    .7016202          0          3
      income |      9,075    .4402077    .2888247          0          1
-------------+---------------------------------------------------------
   education |      9,926    .5661394    .2879624          0          1
   ipaddress |      5,394    2.24e+10    4.18e+10     656954   2.17e+11
         zip |          0
       state |          0
      region |      9,934    5.083249    2.471791          1          9
-------------+---------------------------------------------------------
       south |     10,223     .361929    .4805819          0          1
         pid |      9,462    .4484792    .3742852          0          1
        ideo |      9,520    .5003326    .2821105          0          1
       auth1 |      8,673    .5650294    .4773253          0          1
       auth2 |      8,671    .5611233    .4802446          0          1
-------------+---------------------------------------------------------
       auth3 |      8,667     .509115    .4815162          0          1
       auth4 |      8,644    .3737853    .4639372          0          1
       auth5 |      3,241    .5350201    .4988491          0          1
       auth6 |      2,225    .6759551    .4681221          0          1
       auth7 |      2,224    .2697842    .4439474          0          1
-------------+---------------------------------------------------------
       auth8 |      2,224    .3830935    .4862501          0          1
  auth_scale |      8,838    .4921391     .320342          0          1
      consc1 |      1,046    .6474665    .3219495          0          1
      consc2 |      1,046    .6037285    .3253566          0          1
      consc3 |      1,046    .8236138    .2164453          0          1
-------------+---------------------------------------------------------
 consc_scale |      1,046    .6916029    .2276615          0          1
       open1 |      1,046    .7155832    .2959228          0          1
       open2 |      1,046    .6355163    .3060054          0          1
       open3 |      1,046    .6955067    .2551271          0          1
       open4 |      1,045    .6366029    .3213544          0          1
-------------+---------------------------------------------------------
       open5 |      1,046    .7256214    .2529791          0          1
       open6 |      1,046    .6794933    .3154516          0          1
  open_scale |      1,046    .6814054    .2008386          0          1
        rwa1 |        909    .5453795    .3140709          0          1
        rwa2 |        908    .4443833    .3066991          0          1
-------------+---------------------------------------------------------
        rwa3 |        909    .4312431    .2953433          0          1
        rwa4 |        906     .544702    .3009003          0          1
        rwa5 |        906    .4936534    .2975981          0          1
        rwa6 |        907     .356946    .2714348          0          1
        rwa7 |        906     .433223    .2725164          0          1
-------------+---------------------------------------------------------
        rwa8 |        907    .5060639     .307363          0          1
        rwa9 |        907    .3944322    .3469822          0          1
       rwa10 |        906    .3899007     .308185          0          1
       rwa11 |        907    .5214994    .3181517          0          1
       rwa12 |        907    .3613561    .3212542          0          1
-------------+---------------------------------------------------------
       rwa13 |        902    .4512195    .2723957          0          1
       rwa14 |        900    .5211111    .2945064          0          1
       rwa15 |        905    .4372928    .2765321          0          1
       rwa16 |        902    .5072062    .3047955          0          1
       rwa17 |        902    .4581486    .2977116          0          1
-------------+---------------------------------------------------------
       rwa18 |        904    .5110619     .301141          0          1
   rwa_scale |        909    .4618155    .1869296          0          1
   authority |      1,046    .4602294    .2917782          0          1
      purity |      1,046    .5891013    .3011871          0          1
     loyalty |      1,046    .5017208    .3171296          0          1
-------------+---------------------------------------------------------
      loyal2 |        547    .5334552    .2791201          0          1
        care |      1,046    .7114723     .253742          0          1
       care2 |        547    .7224863    .2390205          0          1
    fairness |      1,046    .7239006    .2482908          0          1
       fair2 |        547    .7363803    .2481656          0          1
-------------+---------------------------------------------------------
individual~g |      1,046    .7176864    .2236342          0          1
     binding |      1,046    .5170172    .2530944          0          1
        nfs1 |        547    .6602681    .2452431          0          1
        nfs2 |        547    .6532602    .2427689          0          1
        nfs3 |        547    .4494211    .2505208          0          1
-------------+---------------------------------------------------------
        nfs4 |        547    .7071907     .212149          0          1
        nfs5 |        547    .5877514    .2707003          0          1
        nfs6 |        547    .6956124    .2185092          0          1
        nfs7 |        547    .5374771    .2841762          0          1
        nfs8 |        547    .5597197    .2614658          0          1
-------------+---------------------------------------------------------
        nfs9 |        547    .6407678    .2464431          0          1
       nfs10 |        547     .686167     .238333          0          1
       nfs11 |        547    .6237051    .2479725          0          1
       nfs12 |        547    .5286411    .2662931          0          1
   nfs_scale |        547    .6108318    .1562858   .0833333          1
-------------+---------------------------------------------------------
     polint1 |      8,966    .7321362    .3042708          0          1
     polint2 |      8,510     .701494    .3196247          0          1
     polint3 |      4,748    .7479641    .2842968          0          1
     polint4 |      3,705    .8405758    .2598261          0          1
     polint5 |      3,459    .8330924    .2594371          0          1
-------------+---------------------------------------------------------
     polint6 |      3,710    .8579515      .24595          0          1
polint_scale |      8,994    .7129823    .2848556          0          1
    polknow1 |      8,472    .6962937    .4598845          0          1
    polknow2 |      8,481     .744016    .4364386          0          1
    polknow3 |      8,480    .7207547    .4486548          0          1
-------------+---------------------------------------------------------
    polknow4 |      9,280    .7272629    .4453908          0          1
    polknow5 |      9,282    .7772032    .4161455          0          1
    polknow6 |      7,250    .6113103    .4874862          0          1
    polknow7 |      6,234    .7584216    .4280744          0          1
    polknow8 |      2,752    .5864826    .4925535          0          1
-------------+---------------------------------------------------------
polknow_sc~e |      9,288    .7040614    .2874341          0          1
polengage_~e |      9,941    .7047667    .2533009          0          1
   dv_travel |      1,906    .7423924    .4374315          0          1
dv_work_home |      1,897    .6678967     .471092          0          1
dv_wash_ha~s |      1,938    .9375645    .2420073          0          1
-------------+---------------------------------------------------------
dv_avoid_d~e |      1,929    .8227061    .3820163          0          1
dv_cancel_~t |      1,913    .7909043    .4067692          0          1
 dv_sanitize |      1,922    .9391259    .2391614          0          1
dv_distanc~1 |      2,056    .7189932    .2797599          0          1
dv_distanc~2 |      2,055    .6698297    .3153254          0          1
-------------+---------------------------------------------------------
dv_distanc~g |      4,993    .7745594    .3186998          0          1
 dv_masking1 |      2,052    .7023635     .329299          0          1
 dv_masking2 |      2,051    .5102389    .3719822          0          1
  dv_masking |      4,982    .7967433    .3069145          0          1
dv_vaxstatus |      2,040    .6776961    .4502384          0          1
-------------+---------------------------------------------------------
 dv_behavior |      5,004    .7652523    .2530405          0          1
  dv_concern |      6,483    .5753226    .3276629          0          1
dv_busines~s |      6,866    .6410331    .3533421          0          1
 dv_tracking |      3,095    .3156166    .3433115          0          1
dv_lockdowns |      3,121    .6457332    .3357122          0          1
-------------+---------------------------------------------------------
dv_mmindoors |      2,110    .7165087    .3282025          0          1
dv_mmoutdo~s |      2,100    .5518254    .3588006          0          1
dv_maskman~s |      3,115    .6875869     .322388          0          1
dv_vaxmand~e |      2,079    .5530704    .3891234          0          1
dv_statere~t |      3,744    .6161859    .4863785          0          1
-------------+---------------------------------------------------------
dv_cancele~s |      3,744    .6912838    .3710847          0          1
  dv_schools |      3,744    .5647258    .3847716          0          1
 dv_workhome |      3,743    .7428088    .3240373          0          1
dv_travelr~t |      3,743    .4892243    .3802338          0          1
 dv_stayhome |      3,742    .6426599    .3715042          0          1
-------------+---------------------------------------------------------
dv_testing~q |      3,743    .7408941    .3086171          0          1
dv_restric~s |      6,871    .6109978    .3044926          0          1
        vax1 |      1,950    .5991453     .316623          0          1
        vax2 |      1,949    .7655208    .2786296          0          1
        vax3 |      1,950    .8105128     .246301          0          1
-------------+---------------------------------------------------------
        vax4 |      1,948     .675308    .2902219          0          1
        vax5 |      1,944    .7463134    .2891712          0          1
   vax_scale |      1,952    .7192964    .1793611         .1          1
    infected |          0
  latentnsc1 |      1,046    .4583892     .184273          0          1
-------------+---------------------------------------------------------
  latentnsc2 |      1,046    .4555281    .2029025          0          1
    race_num |      9,898    1.482825     .911657          1          4
  sample_num |     10,223     4.30089    1.639862          1          6
   state_num |      9,128    25.07395    14.92741          1         51
     state_1 |     10,223    .0025942    .0494066          0          1
-------------+---------------------------------------------------------
     state_2 |     10,223    .0137921    .1122001          0          1
     state_3 |     10,223     .009433    .0945688          0          1
     state_4 |     10,223    .0258184    .1543797          0          1
     state_5 |     10,223    .0914405    .2845732          0          1
     state_6 |     10,223    .0175381    .1268181          0          1
-------------+---------------------------------------------------------
     state_7 |     10,223    .0096312     .093983          0          1
     state_8 |     10,223    .0030127    .0531956          0          1
     state_9 |     10,223    .0039709    .0608729          0          1
    state_10 |     10,223    .0759445    .2578095          0          1
    state_11 |     10,223    .0332626    .1728022          0          1
-------------+---------------------------------------------------------
    state_12 |     10,223    .0041092    .0616959          0          1
    state_13 |     10,223    .0101926    .0978406          0          1
    state_14 |     10,223    .0062478    .0759473          0          1
    state_15 |     10,223    .0371944    .1803169          0          1
    state_16 |     10,223    .0200027    .1324839          0          1
-------------+---------------------------------------------------------
    state_17 |     10,223    .0095576    .0947878          0          1
    state_18 |     10,223    .0135522    .1114798          0          1
    state_19 |     10,223    .0102565    .0977676          0          1
    state_20 |     10,223    .0192323    .1337562          0          1
    state_21 |     10,223    .0185049    .1293436          0          1
-------------+---------------------------------------------------------
    state_22 |     10,223    .0048522     .067144          0          1
    state_23 |     10,223    .0318341    .1673873          0          1
    state_24 |     10,223    .0143879    .1156891          0          1
    state_25 |     10,223    .0196574    .1357797          0          1
    state_26 |     10,223    .0071643    .0801905          0          1
-------------+---------------------------------------------------------
    state_27 |     10,223    .0036067     .057666          0          1
    state_28 |     10,223    .0298674    .1634827          0          1
    state_29 |     10,223    .0018108    .0408059          0          1
    state_30 |     10,223    .0060461    .0753079          0          1
    state_31 |     10,223    .0048561     .067149          0          1
-------------+---------------------------------------------------------
    state_32 |     10,223    .0271403    .1578577          0          1
    state_33 |     10,223    .0062823    .0744255          0          1
    state_34 |     10,223    .0105263    .0995706          0          1
    state_35 |     10,223    .0634169     .239227          0          1
    state_36 |     10,223    .0366408    .1793697          0          1
-------------+---------------------------------------------------------
    state_37 |     10,223    .0095692    .0946782          0          1
    state_38 |     10,223    .0133786    .1114037          0          1
    state_39 |     10,223    .0479532    .2093071          0          1
    state_40 |     10,223    .0034143     .056031          0          1
    state_41 |     10,223    .0142219     .113192          0          1
-------------+---------------------------------------------------------
    state_42 |     10,223    .0030052    .0532437          0          1
    state_43 |     10,223    .0190971    .1323742          0          1
    state_44 |     10,223    .0686577    .2505065          0          1
    state_45 |     10,223    .0089666    .0902809          0          1
    state_46 |     10,223    .0244149    .1479849          0          1
-------------+---------------------------------------------------------
    state_47 |     10,223    .0027096    .0504307          0          1
    state_48 |     10,223    .0233706    .1466041          0          1
    state_49 |     10,223    .0203729    .1346761          0          1
    state_50 |     10,223    .0072081    .0819183          0          1
    state_51 |     10,223    .0020077    .0431063          0          1

. 
. set seed 1996

. 
. * Standardize Some Variables
. local vars dv_concern dv_behavior dv_restrictions auth_scale latentnsc1 latentnsc2 polengage_scale polint_scale polknow_scale

. foreach var of local vars {
  2.     egen mean_`var' = mean(`var')
  3.     egen sd_`var' = sd(`var')
  4.     generate z_`var' = (`var' - mean_`var') / sd_`var'
  5. }
(3,740 missing values generated)
(5,219 missing values generated)
(3,352 missing values generated)
(1,385 missing values generated)
(9,177 missing values generated)
(9,177 missing values generated)
(282 missing values generated)
(1,229 missing values generated)
(935 missing values generated)

. 
. ***** Table 1 Descriptive Statistics *****
. 
. * Sample Sizes (useable observations only)
. tab sample if (auth_scale != . | latentnsc2 != .) & polengage_scale != . & (dv_concern != . | dv_restrictions != . | dv_behavior != .)

     sample |      Freq.     Percent        Cum.
------------+-----------------------------------
    ANESGSS |        775        8.92        8.92
     Bovitz |        496        5.71       14.63
  Lucid2020 |      1,007       11.59       26.22
  Lucid2021 |      2,119       24.39       50.62
      MTurk |        546        6.29       56.90
        VSG |      3,744       43.10      100.00
------------+-----------------------------------
      Total |      8,687      100.00

. 
. * Alphas
. alpha auth1-auth4 if sample == "ANESGSS"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0717019
Number of items in the scale:            4
Scale reliability coefficient:      0.6629

. alpha auth1-auth5 if sample == "Lucid2020"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0842526
Number of items in the scale:            5
Scale reliability coefficient:      0.7378

. alpha auth1-auth8 if sample == "Lucid2021"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0604484
Number of items in the scale:            8
Scale reliability coefficient:      0.7423

. alpha auth1-auth4 if sample == "VSG"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0817513
Number of items in the scale:            4
Scale reliability coefficient:      0.6883

. alpha auth1-auth4 if sample == "MTurk"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0454346
Number of items in the scale:            4
Scale reliability coefficient:      0.7584

. alpha auth1-auth4 if sample == "Bovitz"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0254874
Number of items in the scale:            4
Scale reliability coefficient:      0.6240

. 
. alpha polint1-polint2 if sample == "Lucid2020"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0734526
Number of items in the scale:            2
Scale reliability coefficient:      0.8320

. alpha polint1-polint2 if sample == "Lucid2021"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0784034
Number of items in the scale:            2
Scale reliability coefficient:      0.8296

. alpha polint1-polint6 if sample == "VSG"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0499288
Number of items in the scale:            6
Scale reliability coefficient:      0.9554

. alpha polint1-polint3 if sample == "MTurk"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0350215
Number of items in the scale:            3
Scale reliability coefficient:      0.7565

. alpha polint1-polint3 if sample == "Bovitz"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0431443
Number of items in the scale:            3
Scale reliability coefficient:      0.7523

. 
. alpha polknow4-polknow8 if sample == "ANESGSS" // note: the first three knowledge items are pre-election, so missing

Test scale = mean(unstandardized items)

Average interitem covariance:     .0483769
Number of items in the scale:            5
Scale reliability coefficient:      0.6731

. alpha polknow1-polknow6 if sample == "Lucid2020"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0610431
Number of items in the scale:            6
Scale reliability coefficient:      0.7360

. alpha polknow1-polknow5 if sample == "Lucid2021"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0677815
Number of items in the scale:            5
Scale reliability coefficient:      0.7081

. alpha polknow1-polknow7 if sample == "VSG"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0594696
Number of items in the scale:            7
Scale reliability coefficient:      0.7892

. alpha polknow1-polknow8 if sample == "MTurk"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0413857
Number of items in the scale:            8
Scale reliability coefficient:      0.7557

. alpha polknow1-polknow8 if sample == "Bovitz"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0539215
Number of items in the scale:            8
Scale reliability coefficient:      0.7570

. 
. alpha dv_masking dv_distancing if sample == "Lucid2020"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0395013
Number of items in the scale:            2
Scale reliability coefficient:      0.8102

. alpha dv_masking dv_distancing dv_vaxstatus if sample == "Lucid2021"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0384375
Number of items in the scale:            3
Scale reliability coefficient:      0.5661

. alpha dv_masking dv_distancing dv_travel-dv_sanitize if sample == "MTurk"

Test scale = mean(unstandardized items)

Average interitem covariance:      .032979
Number of items in the scale:            8
Scale reliability coefficient:      0.7522

. alpha dv_masking dv_distancing dv_travel-dv_sanitize if sample == "Bovitz"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0351507
Number of items in the scale:            8
Scale reliability coefficient:      0.7427

. 
. alpha dv_businesses dv_tracking dv_lockdowns dv_maskmandates if sample == "Lucid2020"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0534972
Number of items in the scale:            4
Scale reliability coefficient:      0.8124

. alpha dv_businesses dv_tracking dv_lockdowns dv_maskmandates dv_vaxmandate if sample == "Lucid2021"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0738588
Number of items in the scale:            5
Scale reliability coefficient:      0.8922

. alpha dv_businesses dv_staterestrict-dv_testingreq if sample == "VSG"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0965356
Number of items in the scale:            8
Scale reliability coefficient:      0.9430

. 
. * 5th to 95th Percentiles of Authoritarianism and Latent NSC
. sum auth_scale, det // 0 to 1

                         auth_scale
-------------------------------------------------------------
      Percentiles      Smallest
 1%            0              0
 5%            0              0
10%            0              0       Obs               8,838
25%          .25              0       Sum of wgt.       8,838

50%           .5                      Mean           .4921391
                        Largest       Std. dev.       .320342
75%          .75              1
90%            1              1       Variance        .102619
95%            1              1       Skewness      -.0059802
99%            1              1       Kurtosis       1.951514

. sum latentnsc2, det // 0.055 to 0.782

                         latentnsc2
-------------------------------------------------------------
      Percentiles      Smallest
 1%     .0155201              0
 5%     .0553126       .0043632
10%     .1453914       .0071583       Obs               1,046
25%     .3387757       .0073306       Sum of wgt.       1,046

50%     .4893718                      Mean           .4555281
                        Largest       Std. dev.      .2029025
75%     .5534478       .9438711
90%     .7083806       .9544292       Variance       .0411694
95%     .7823676       .9549724       Skewness      -.2249455
99%     .9129034              1       Kurtosis       2.952598

. 
. ***** SM1 - Key Variable Histograms *****
. histogram auth_scale, percent bin(4) by(sample, note("") col(3)) title("")

. histogram latentnsc2, percent bin(6) by(sample, note("") col(3)) title("") 

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001t.tmp"

. histogram polengage_scale, percent bin(6) by(sample, note("") col(3)) title("") 

. histogram dv_concern, percent bin(3) by(sample, note("") col(3)) title("") 

. histogram dv_restrictions, percent bin(4) by(sample, note("") col(3)) title("") 

. histogram dv_behavior, percent bin(3) by(sample, note("") col(3)) title("") 

. 
. ***** Main Text Analyses & SM3 Regression Tables *****
. 
. * Set Up Multiple Imputation
. mi set mlong

. mi register imputed age education income male race sample_num
(1198 m=0 obs now marked as incomplete)

. mi impute chained (logit) male (mlogit) race sample_num (regress) age education income, add(25) 
note: variable sample_num contains no soft missing (.) values; imputing nothing

Conditional models:
         education: regress education i.sample_num i.race i.male age income
              race: mlogit race i.sample_num education i.male age income
              male: logit male i.sample_num education i.race age income
               age: regress age i.sample_num education i.race i.male income
            income: regress income i.sample_num education i.race i.male age

Performing chained iterations ...

Multivariate imputation                     Imputations =       25
Chained equations                                 added =       25
Imputed: m=1 through m=25                       updated =        0

Initialization: monotone                     Iterations =      250
                                                burn-in =       10

              male: logistic regression
              race: multinomial logistic regression
        sample_num: multinomial logistic regression
               age: linear regression
         education: linear regression
            income: linear regression

------------------------------------------------------------------
                   |               Observations per m             
                   |----------------------------------------------
          Variable |   Complete   Incomplete   Imputed |     Total
-------------------+-----------------------------------+----------
              male |       9681          542       542 |     10223
              race |       9898          325       325 |     10223
        sample_num |      10223            0         0 |     10223
               age |       9666          557       557 |     10223
         education |       9926          297       297 |     10223
            income |       9075         1148      1148 |     10223
------------------------------------------------------------------
(Complete + Incomplete = Total; Imputed is the minimum across m
 of the number of filled-in observations.)

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001u.tmp"

. 
. * COVID-19 Concern, Authoritarianism 
. mi estimate: regress dv_concern c.auth_scale##c.polengage_scale c.age##c.polengage_scale i.male##c.polengage_scale i.race##c.polengage_scale c.education##c.polengage_scale c.income##c.polengage_scale i.sampl
> e_num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      5,484
                                                Average RVI       =     0.0037
                                                Largest FMI       =     0.0614
                                                Complete DF       =       5412
DF adjustment:   Small sample                   DF:     min       =   2,839.85
                                                        avg       =   5,250.52
                                                        max       =   5,406.85
Model F test:       Equal FMI                   F(  71, 5409.7)   =       8.30
Within VCE type:          OLS                   Prob > F          =     0.0000

------------------------------------------------------------------------------------------------
                    dv_concern | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------------------------+----------------------------------------------------------------
                    auth_scale |   .1698144   .0488236     3.48   0.001     .0741006    .2655282
               polengage_scale |   .2791857   .0989894     2.82   0.005     .0851264    .4732451
                               |
c.auth_scale#c.polengage_scale |  -.4280247   .0594535    -7.20   0.000    -.5445775   -.3114719
                               |
                           age |   .2139976    .074115     2.89   0.004     .0687024    .3592929
               polengage_scale |          0  (omitted)
                               |
       c.age#c.polengage_scale |  -.2840209   .0953901    -2.98   0.003     -.471024   -.0970178
                               |
                        1.male |   .0042296    .032134     0.13   0.895    -.0587659    .0672252
               polengage_scale |          0  (omitted)
                               |
        male#c.polengage_scale |
                            1  |  -.0799572   .0392459    -2.04   0.042    -.1568951   -.0030194
                               |
                          race |
                            1  |  -.1458162   .0588068    -2.48   0.013    -.2611012   -.0305311
                            2  |   .0011709   .0675823     0.02   0.986    -.1313178    .1336597
                            3  |  -.0224712   .0734298    -0.31   0.760    -.1664235    .1214811
                               |
               polengage_scale |          0  (omitted)
                               |
        race#c.polengage_scale |
                            1  |   .1194261   .0746888     1.60   0.110    -.0269943    .2658464
                            2  |   .0907412   .0888589     1.02   0.307    -.0834585    .2649408
                            3  |   .0342578   .0953161     0.36   0.719    -.1526006    .2211163
                               |
                     education |  -.0683349   .0572198    -1.19   0.232    -.1805094    .0438395
               polengage_scale |          0  (omitted)
                               |
 c.education#c.polengage_scale |   .1289616   .0703315     1.83   0.067    -.0089172    .2668403
                               |
                        income |  -.0681065   .0614003    -1.11   0.267    -.1884949    .0522818
               polengage_scale |          0  (omitted)
                               |
    c.income#c.polengage_scale |   .0020125   .0755249     0.03   0.979    -.1460767    .1501017
                               |
                    sample_num |
                            2  |  -.1528253   .0209469    -7.30   0.000    -.1938909   -.1117598
                            5  |  -.1811252    .018906    -9.58   0.000    -.2181887   -.1440616
                            6  |  -.0749138   .0146682    -5.11   0.000    -.1036705   -.0461572
                               |
                       state_1 |   .0054104    .159844     0.03   0.973    -.3079492    .3187699
                       state_2 |  -.0337456   .1459829    -0.23   0.817     -.319932    .2524409
                       state_3 |   .0731501   .1466206     0.50   0.618    -.2142864    .3605867
                       state_4 |  -.0834837   .1421906    -0.59   0.557    -.3622356    .1952682
                       state_5 |   .0179579    .140309     0.13   0.898    -.2571053    .2930211
                       state_6 |   .0082332   .1436126     0.06   0.954    -.2733064    .2897728
                       state_7 |   .0279018   .1480323     0.19   0.851    -.2623022    .3181059
                       state_8 |   .1703934   .1704803     1.00   0.318    -.1638174    .5046041
                       state_9 |    .083056   .1549788     0.54   0.592    -.2207658    .3868778
                      state_10 |   .0073475   .1404176     0.05   0.958    -.2679286    .2826236
                      state_11 |  -.0004104   .1414739    -0.00   0.998    -.2777573    .2769366
                      state_12 |   .0732503   .1578026     0.46   0.643    -.2361071    .3826077
                      state_13 |   .0502092   .1441543     0.35   0.728    -.2323924    .3328107
                      state_14 |  -.0111042   .1477027    -0.08   0.940     -.300662    .2784536
                      state_15 |   .0343601   .1412601     0.24   0.808    -.2425677    .3112879
                      state_16 |  -.0080554   .1429682    -0.06   0.955    -.2883318     .272221
                      state_17 |   .0295981   .1455978     0.20   0.839    -.2558334    .3150295
                      state_18 |   .0620919   .1452015     0.43   0.669    -.2225627    .3467466
                      state_19 |  -.0373625   .1477189    -0.25   0.800    -.3269522    .2522272
                      state_20 |    .015938   .1431355     0.11   0.911    -.2646662    .2965423
                      state_21 |   .0957577   .1429317     0.67   0.503    -.1844471    .3759624
                      state_22 |    .080559   .1509398     0.53   0.594    -.2153447    .3764627
                      state_23 |  -.0318926    .141428    -0.23   0.822    -.3091496    .2453645
                      state_24 |   -.024006   .1440517    -0.17   0.868    -.3064065    .2583944
                      state_25 |  -.0246559   .1428907    -0.17   0.863    -.3047803    .2554685
                      state_26 |   .0538343   .1479543     0.36   0.716    -.2362167    .3438852
                      state_27 |  -.0486302   .1565793    -0.31   0.756    -.3555896    .2583292
                      state_28 |  -.0012074   .1418671    -0.01   0.993    -.2793251    .2769104
                      state_29 |  -.1785343   .1963053    -0.91   0.363    -.5633722    .2063037
                      state_30 |  -.0015901   .1521536    -0.01   0.992    -.2998733    .2966931
                      state_31 |   .0119497   .1521974     0.08   0.937    -.2864194    .3103189
                      state_32 |   .0261768   .1420213     0.18   0.854    -.2522432    .3045968
                      state_33 |  -.0565228   .1498138    -0.38   0.706    -.3502191    .2371735
                      state_34 |   .0004768   .1463846     0.00   0.997     -.286497    .2874506
                      state_35 |   .0570415    .140732     0.41   0.685    -.2188509     .332934
                      state_36 |   .0446526   .1414324     0.32   0.752    -.2326129    .3219181
                      state_37 |   .0971401   .1483953     0.65   0.513    -.1937755    .3880558
                      state_38 |  -.0498003   .1445718    -0.34   0.731    -.3332203    .2336197
                      state_39 |   .0272937   .1408788     0.19   0.846    -.2488867    .3034742
                      state_40 |   .1023423    .159602     0.64   0.521    -.2105429    .4152275
                      state_41 |   .0082893   .1448058     0.06   0.954    -.2755895    .2921681
                      state_42 |   .0591517    .155159     0.38   0.703    -.2450233    .3633267
                      state_43 |   .0015716   .1432004     0.01   0.991      -.27916    .2823032
                      state_44 |  -.0098265   .1405358    -0.07   0.944    -.2853345    .2656814
                      state_45 |  -.0265837   .1465046    -0.18   0.856    -.3137928    .2606254
                      state_46 |    .006442   .1423456     0.05   0.964    -.2726138    .2854978
                      state_47 |   .1069835    .163897     0.65   0.514    -.2143214    .4282884
                      state_48 |  -.0487794    .142102    -0.34   0.731    -.3273576    .2297988
                      state_49 |   .0110171   .1425376     0.08   0.938    -.2684151    .2904493
                      state_50 |   .0555716   .1481115     0.38   0.708    -.2347877    .3459309
                      state_51 |   -.029108   .1704606    -0.17   0.864    -.3632802    .3050643
                         _cons |   .5838799   .1611747     3.62   0.000     .2679114    .8998484
------------------------------------------------------------------------------------------------

. quietly mimrgns, at(auth_scale=(0 1) polengage_scale=(0 .25 .5 .75 1)) coeflegend post

.     lincom _b[6._at]-_b[1._at]

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1698144   .0488236     3.48   0.001     .0741006    .2655282
------------------------------------------------------------------------------

.     lincom _b[7._at]-_b[2._at]

 ( 1)  - 2._at + 7._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0628082   .0348338     1.80   0.071      -.00548    .1310965
------------------------------------------------------------------------------

.     lincom _b[8._at]-_b[3._at]

 ( 1)  - 3._at + 8._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0441979   .0220201    -2.01   0.045    -.0873663   -.0010296
------------------------------------------------------------------------------

.     lincom _b[9._at]-_b[4._at]

 ( 1)  - 4._at + 9._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.1512041    .014079   -10.74   0.000    -.1788047   -.1236035
------------------------------------------------------------------------------

.     lincom _b[10._at]-_b[5._at]

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.2582103   .0187987   -13.74   0.000    -.2950634   -.2213572
------------------------------------------------------------------------------

. 
end of do-file

. do "C:\Users\14258\AppData\Local\Temp\STDf940_00001v.tmp"

. 
. * Session setup
. version 18

. clear all

. set more off

. 
. import excel "pooled_data.xlsx", sheet("Sheet1") firstrow clear
(190 vars, 10,223 obs)

. describe

Contains data
 Observations:        10,223                  
    Variables:           190                  
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Variable      Storage   Display    Value
    name         type    format    label      Variable label
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
sample          str9    %9s                   sample
year            int     %10.0g                year
age             double  %10.0g                age
male            byte    %10.0g                male
white           byte    %10.0g                white
black           byte    %10.0g                black
hispanic        byte    %10.0g                hispanic
otherrace       byte    %10.0g                otherrace
race            byte    %10.0g                race
income          double  %10.0g                income
education       double  %10.0g                education
ipaddress       double  %10.0g                ipaddress
zip             str5    %9s                   zip
state           str2    %9s                   state
region          byte    %10.0g                region
south           byte    %10.0g                south
pid             double  %10.0g                pid
ideo            double  %10.0g                ideo
auth1           double  %10.0g                auth1
auth2           double  %10.0g                auth2
auth3           double  %10.0g                auth3
auth4           double  %10.0g                auth4
auth5           byte    %10.0g                auth5
auth6           byte    %10.0g                auth6
auth7           byte    %10.0g                auth7
auth8           byte    %10.0g                auth8
auth_scale      double  %10.0g                auth_scale
consc1          double  %10.0g                consc1
consc2          double  %10.0g                consc2
consc3          double  %10.0g                consc3
consc_scale     double  %10.0g                consc_scale
open1           double  %10.0g                open1
open2           double  %10.0g                open2
open3           double  %10.0g                open3
open4           double  %10.0g                open4
open5           double  %10.0g                open5
open6           double  %10.0g                open6
open_scale      double  %10.0g                open_scale
rwa1            double  %10.0g                rwa1
rwa2            double  %10.0g                rwa2
rwa3            double  %10.0g                rwa3
rwa4            double  %10.0g                rwa4
rwa5            double  %10.0g                rwa5
rwa6            double  %10.0g                rwa6
rwa7            double  %10.0g                rwa7
rwa8            double  %10.0g                rwa8
rwa9            double  %10.0g                rwa9
rwa10           double  %10.0g                rwa10
rwa11           double  %10.0g                rwa11
rwa12           double  %10.0g                rwa12
rwa13           double  %10.0g                rwa13
rwa14           double  %10.0g                rwa14
rwa15           double  %10.0g                rwa15
rwa16           double  %10.0g                rwa16
rwa17           double  %10.0g                rwa17
rwa18           double  %10.0g                rwa18
rwa_scale       double  %10.0g                rwa_scale
authority       double  %10.0g                authority
purity          double  %10.0g                purity
loyalty         double  %10.0g                loyalty
loyal2          double  %10.0g                loyal2
care            double  %10.0g                care
care2           double  %10.0g                care2
fairness        double  %10.0g                fairness
fair2           double  %10.0g                fair2
individualizing double  %10.0g                individualizing
binding         double  %10.0g                binding
nfs1            double  %10.0g                nfs1
nfs2            double  %10.0g                nfs2
nfs3            double  %10.0g                nfs3
nfs4            double  %10.0g                nfs4
nfs5            double  %10.0g                nfs5
nfs6            double  %10.0g                nfs6
nfs7            double  %10.0g                nfs7
nfs8            double  %10.0g                nfs8
nfs9            double  %10.0g                nfs9
nfs10           double  %10.0g                nfs10
nfs11           double  %10.0g                nfs11
nfs12           double  %10.0g                nfs12
nfs_scale       double  %10.0g                nfs_scale
polint1         double  %10.0g                polint1
polint2         double  %10.0g                polint2
polint3         double  %10.0g                polint3
polint4         double  %10.0g                polint4
polint5         double  %10.0g                polint5
polint6         double  %10.0g                polint6
polint_scale    double  %10.0g                polint_scale
polknow1        byte    %10.0g                polknow1
polknow2        byte    %10.0g                polknow2
polknow3        byte    %10.0g                polknow3
polknow4        byte    %10.0g                polknow4
polknow5        byte    %10.0g                polknow5
polknow6        byte    %10.0g                polknow6
polknow7        byte    %10.0g                polknow7
polknow8        byte    %10.0g                polknow8
polknow_scale   double  %10.0g                polknow_scale
polengage_scale double  %10.0g                polengage_scale
dv_travel       byte    %10.0g                dv_travel
dv_work_home    byte    %10.0g                dv_work_home
dv_wash_hands   byte    %10.0g                dv_wash_hands
dv_avoid_dine   byte    %10.0g                dv_avoid_dine
dv_cancel_event byte    %10.0g                dv_cancel_event
dv_sanitize     byte    %10.0g                dv_sanitize
dv_distancing1  double  %10.0g                dv_distancing1
dv_distancing2  double  %10.0g                dv_distancing2
dv_distancing   double  %10.0g                dv_distancing
dv_masking1     double  %10.0g                dv_masking1
dv_masking2     double  %10.0g                dv_masking2
dv_masking      double  %10.0g                dv_masking
dv_vaxstatus    double  %10.0g                dv_vaxstatus
dv_behavior     double  %10.0g                dv_behavior
dv_concern      double  %10.0g                dv_concern
dv_businesses   double  %10.0g                dv_businesses
dv_tracking     double  %10.0g                dv_tracking
dv_lockdowns    double  %10.0g                dv_lockdowns
dv_mmindoors    double  %10.0g                dv_mmindoors
dv_mmoutdoors   double  %10.0g                dv_mmoutdoors
dv_maskmandates double  %10.0g                dv_maskmandates
dv_vaxmandate   double  %10.0g                dv_vaxmandate
dv_staterestr~t byte    %10.0g                dv_staterestrict
dv_cancelevents double  %10.0g                dv_cancelevents
dv_schools      double  %10.0g                dv_schools
dv_workhome     double  %10.0g                dv_workhome
dv_travelrest   double  %10.0g                dv_travelrest
dv_stayhome     double  %10.0g                dv_stayhome
dv_testingreq   double  %10.0g                dv_testingreq
dv_restrictions double  %10.0g                dv_restrictions
vax1            double  %10.0g                vax1
vax2            double  %10.0g                vax2
vax3            double  %10.0g                vax3
vax4            double  %10.0g                vax4
vax5            double  %10.0g                vax5
vax_scale       double  %10.0g                vax_scale
infected        str11   %11s                  infected
latentnsc1      double  %10.0g                latentnsc1
latentnsc2      double  %10.0g                latentnsc2
race_num        byte    %10.0g                race_num
sample_num      byte    %10.0g                sample_num
state_num       byte    %10.0g                state_num
state_1         double  %10.0g                state_1
state_2         double  %10.0g                state_2
state_3         double  %10.0g                state_3
state_4         double  %10.0g                state_4
state_5         double  %10.0g                state_5
state_6         double  %10.0g                state_6
state_7         double  %10.0g                state_7
state_8         double  %10.0g                state_8
state_9         double  %10.0g                state_9
state_10        double  %10.0g                state_10
state_11        double  %10.0g                state_11
state_12        double  %10.0g                state_12
state_13        double  %10.0g                state_13
state_14        double  %10.0g                state_14
state_15        double  %10.0g                state_15
state_16        double  %10.0g                state_16
state_17        double  %10.0g                state_17
state_18        double  %10.0g                state_18
state_19        double  %10.0g                state_19
state_20        double  %10.0g                state_20
state_21        double  %10.0g                state_21
state_22        double  %10.0g                state_22
state_23        double  %10.0g                state_23
state_24        double  %10.0g                state_24
state_25        double  %10.0g                state_25
state_26        double  %10.0g                state_26
state_27        double  %10.0g                state_27
state_28        double  %10.0g                state_28
state_29        double  %10.0g                state_29
state_30        double  %10.0g                state_30
state_31        double  %10.0g                state_31
state_32        double  %10.0g                state_32
state_33        double  %10.0g                state_33
state_34        double  %10.0g                state_34
state_35        double  %10.0g                state_35
state_36        double  %10.0g                state_36
state_37        double  %10.0g                state_37
state_38        double  %10.0g                state_38
state_39        double  %10.0g                state_39
state_40        double  %10.0g                state_40
state_41        double  %10.0g                state_41
state_42        double  %10.0g                state_42
state_43        double  %10.0g                state_43
state_44        double  %10.0g                state_44
state_45        double  %10.0g                state_45
state_46        double  %10.0g                state_46
state_47        double  %10.0g                state_47
state_48        double  %10.0g                state_48
state_49        double  %10.0g                state_49
state_50        double  %10.0g                state_50
state_51        double  %10.0g                state_51
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Sorted by: 
     Note: Dataset has changed since last saved.

. summarize

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
      sample |          0
        year |     10,223    2020.022    .9777955       2016       2021
         age |      9,666    .4202272    .2116944          0          1
        male |      9,681    .4680302    .4990027          0          1
       white |      9,898    .7424732     .437294          0          1
-------------+---------------------------------------------------------
       black |      9,898    .0975955    .2967819          0          1
    hispanic |      9,933     .094332    .2923048          0          1
   otherrace |      9,928    .0746374    .2628186          0          1
        race |      9,898    1.221358    .7016202          0          3
      income |      9,075    .4402077    .2888247          0          1
-------------+---------------------------------------------------------
   education |      9,926    .5661394    .2879624          0          1
   ipaddress |      5,394    2.24e+10    4.18e+10     656954   2.17e+11
         zip |          0
       state |          0
      region |      9,934    5.083249    2.471791          1          9
-------------+---------------------------------------------------------
       south |     10,223     .361929    .4805819          0          1
         pid |      9,462    .4484792    .3742852          0          1
        ideo |      9,520    .5003326    .2821105          0          1
       auth1 |      8,673    .5650294    .4773253          0          1
       auth2 |      8,671    .5611233    .4802446          0          1
-------------+---------------------------------------------------------
       auth3 |      8,667     .509115    .4815162          0          1
       auth4 |      8,644    .3737853    .4639372          0          1
       auth5 |      3,241    .5350201    .4988491          0          1
       auth6 |      2,225    .6759551    .4681221          0          1
       auth7 |      2,224    .2697842    .4439474          0          1
-------------+---------------------------------------------------------
       auth8 |      2,224    .3830935    .4862501          0          1
  auth_scale |      8,838    .4921391     .320342          0          1
      consc1 |      1,046    .6474665    .3219495          0          1
      consc2 |      1,046    .6037285    .3253566          0          1
      consc3 |      1,046    .8236138    .2164453          0          1
-------------+---------------------------------------------------------
 consc_scale |      1,046    .6916029    .2276615          0          1
       open1 |      1,046    .7155832    .2959228          0          1
       open2 |      1,046    .6355163    .3060054          0          1
       open3 |      1,046    .6955067    .2551271          0          1
       open4 |      1,045    .6366029    .3213544          0          1
-------------+---------------------------------------------------------
       open5 |      1,046    .7256214    .2529791          0          1
       open6 |      1,046    .6794933    .3154516          0          1
  open_scale |      1,046    .6814054    .2008386          0          1
        rwa1 |        909    .5453795    .3140709          0          1
        rwa2 |        908    .4443833    .3066991          0          1
-------------+---------------------------------------------------------
        rwa3 |        909    .4312431    .2953433          0          1
        rwa4 |        906     .544702    .3009003          0          1
        rwa5 |        906    .4936534    .2975981          0          1
        rwa6 |        907     .356946    .2714348          0          1
        rwa7 |        906     .433223    .2725164          0          1
-------------+---------------------------------------------------------
        rwa8 |        907    .5060639     .307363          0          1
        rwa9 |        907    .3944322    .3469822          0          1
       rwa10 |        906    .3899007     .308185          0          1
       rwa11 |        907    .5214994    .3181517          0          1
       rwa12 |        907    .3613561    .3212542          0          1
-------------+---------------------------------------------------------
       rwa13 |        902    .4512195    .2723957          0          1
       rwa14 |        900    .5211111    .2945064          0          1
       rwa15 |        905    .4372928    .2765321          0          1
       rwa16 |        902    .5072062    .3047955          0          1
       rwa17 |        902    .4581486    .2977116          0          1
-------------+---------------------------------------------------------
       rwa18 |        904    .5110619     .301141          0          1
   rwa_scale |        909    .4618155    .1869296          0          1
   authority |      1,046    .4602294    .2917782          0          1
      purity |      1,046    .5891013    .3011871          0          1
     loyalty |      1,046    .5017208    .3171296          0          1
-------------+---------------------------------------------------------
      loyal2 |        547    .5334552    .2791201          0          1
        care |      1,046    .7114723     .253742          0          1
       care2 |        547    .7224863    .2390205          0          1
    fairness |      1,046    .7239006    .2482908          0          1
       fair2 |        547    .7363803    .2481656          0          1
-------------+---------------------------------------------------------
individual~g |      1,046    .7176864    .2236342          0          1
     binding |      1,046    .5170172    .2530944          0          1
        nfs1 |        547    .6602681    .2452431          0          1
        nfs2 |        547    .6532602    .2427689          0          1
        nfs3 |        547    .4494211    .2505208          0          1
-------------+---------------------------------------------------------
        nfs4 |        547    .7071907     .212149          0          1
        nfs5 |        547    .5877514    .2707003          0          1
        nfs6 |        547    .6956124    .2185092          0          1
        nfs7 |        547    .5374771    .2841762          0          1
        nfs8 |        547    .5597197    .2614658          0          1
-------------+---------------------------------------------------------
        nfs9 |        547    .6407678    .2464431          0          1
       nfs10 |        547     .686167     .238333          0          1
       nfs11 |        547    .6237051    .2479725          0          1
       nfs12 |        547    .5286411    .2662931          0          1
   nfs_scale |        547    .6108318    .1562858   .0833333          1
-------------+---------------------------------------------------------
     polint1 |      8,966    .7321362    .3042708          0          1
     polint2 |      8,510     .701494    .3196247          0          1
     polint3 |      4,748    .7479641    .2842968          0          1
     polint4 |      3,705    .8405758    .2598261          0          1
     polint5 |      3,459    .8330924    .2594371          0          1
-------------+---------------------------------------------------------
     polint6 |      3,710    .8579515      .24595          0          1
polint_scale |      8,994    .7129823    .2848556          0          1
    polknow1 |      8,472    .6962937    .4598845          0          1
    polknow2 |      8,481     .744016    .4364386          0          1
    polknow3 |      8,480    .7207547    .4486548          0          1
-------------+---------------------------------------------------------
    polknow4 |      9,280    .7272629    .4453908          0          1
    polknow5 |      9,282    .7772032    .4161455          0          1
    polknow6 |      7,250    .6113103    .4874862          0          1
    polknow7 |      6,234    .7584216    .4280744          0          1
    polknow8 |      2,752    .5864826    .4925535          0          1
-------------+---------------------------------------------------------
polknow_sc~e |      9,288    .7040614    .2874341          0          1
polengage_~e |      9,941    .7047667    .2533009          0          1
   dv_travel |      1,906    .7423924    .4374315          0          1
dv_work_home |      1,897    .6678967     .471092          0          1
dv_wash_ha~s |      1,938    .9375645    .2420073          0          1
-------------+---------------------------------------------------------
dv_avoid_d~e |      1,929    .8227061    .3820163          0          1
dv_cancel_~t |      1,913    .7909043    .4067692          0          1
 dv_sanitize |      1,922    .9391259    .2391614          0          1
dv_distanc~1 |      2,056    .7189932    .2797599          0          1
dv_distanc~2 |      2,055    .6698297    .3153254          0          1
-------------+---------------------------------------------------------
dv_distanc~g |      4,993    .7745594    .3186998          0          1
 dv_masking1 |      2,052    .7023635     .329299          0          1
 dv_masking2 |      2,051    .5102389    .3719822          0          1
  dv_masking |      4,982    .7967433    .3069145          0          1
dv_vaxstatus |      2,040    .6776961    .4502384          0          1
-------------+---------------------------------------------------------
 dv_behavior |      5,004    .7652523    .2530405          0          1
  dv_concern |      6,483    .5753226    .3276629          0          1
dv_busines~s |      6,866    .6410331    .3533421          0          1
 dv_tracking |      3,095    .3156166    .3433115          0          1
dv_lockdowns |      3,121    .6457332    .3357122          0          1
-------------+---------------------------------------------------------
dv_mmindoors |      2,110    .7165087    .3282025          0          1
dv_mmoutdo~s |      2,100    .5518254    .3588006          0          1
dv_maskman~s |      3,115    .6875869     .322388          0          1
dv_vaxmand~e |      2,079    .5530704    .3891234          0          1
dv_statere~t |      3,744    .6161859    .4863785          0          1
-------------+---------------------------------------------------------
dv_cancele~s |      3,744    .6912838    .3710847          0          1
  dv_schools |      3,744    .5647258    .3847716          0          1
 dv_workhome |      3,743    .7428088    .3240373          0          1
dv_travelr~t |      3,743    .4892243    .3802338          0          1
 dv_stayhome |      3,742    .6426599    .3715042          0          1
-------------+---------------------------------------------------------
dv_testing~q |      3,743    .7408941    .3086171          0          1
dv_restric~s |      6,871    .6109978    .3044926          0          1
        vax1 |      1,950    .5991453     .316623          0          1
        vax2 |      1,949    .7655208    .2786296          0          1
        vax3 |      1,950    .8105128     .246301          0          1
-------------+---------------------------------------------------------
        vax4 |      1,948     .675308    .2902219          0          1
        vax5 |      1,944    .7463134    .2891712          0          1
   vax_scale |      1,952    .7192964    .1793611         .1          1
    infected |          0
  latentnsc1 |      1,046    .4583892     .184273          0          1
-------------+---------------------------------------------------------
  latentnsc2 |      1,046    .4555281    .2029025          0          1
    race_num |      9,898    1.482825     .911657          1          4
  sample_num |     10,223     4.30089    1.639862          1          6
   state_num |      9,128    25.07395    14.92741          1         51
     state_1 |     10,223    .0025942    .0494066          0          1
-------------+---------------------------------------------------------
     state_2 |     10,223    .0137921    .1122001          0          1
     state_3 |     10,223     .009433    .0945688          0          1
     state_4 |     10,223    .0258184    .1543797          0          1
     state_5 |     10,223    .0914405    .2845732          0          1
     state_6 |     10,223    .0175381    .1268181          0          1
-------------+---------------------------------------------------------
     state_7 |     10,223    .0096312     .093983          0          1
     state_8 |     10,223    .0030127    .0531956          0          1
     state_9 |     10,223    .0039709    .0608729          0          1
    state_10 |     10,223    .0759445    .2578095          0          1
    state_11 |     10,223    .0332626    .1728022          0          1
-------------+---------------------------------------------------------
    state_12 |     10,223    .0041092    .0616959          0          1
    state_13 |     10,223    .0101926    .0978406          0          1
    state_14 |     10,223    .0062478    .0759473          0          1
    state_15 |     10,223    .0371944    .1803169          0          1
    state_16 |     10,223    .0200027    .1324839          0          1
-------------+---------------------------------------------------------
    state_17 |     10,223    .0095576    .0947878          0          1
    state_18 |     10,223    .0135522    .1114798          0          1
    state_19 |     10,223    .0102565    .0977676          0          1
    state_20 |     10,223    .0192323    .1337562          0          1
    state_21 |     10,223    .0185049    .1293436          0          1
-------------+---------------------------------------------------------
    state_22 |     10,223    .0048522     .067144          0          1
    state_23 |     10,223    .0318341    .1673873          0          1
    state_24 |     10,223    .0143879    .1156891          0          1
    state_25 |     10,223    .0196574    .1357797          0          1
    state_26 |     10,223    .0071643    .0801905          0          1
-------------+---------------------------------------------------------
    state_27 |     10,223    .0036067     .057666          0          1
    state_28 |     10,223    .0298674    .1634827          0          1
    state_29 |     10,223    .0018108    .0408059          0          1
    state_30 |     10,223    .0060461    .0753079          0          1
    state_31 |     10,223    .0048561     .067149          0          1
-------------+---------------------------------------------------------
    state_32 |     10,223    .0271403    .1578577          0          1
    state_33 |     10,223    .0062823    .0744255          0          1
    state_34 |     10,223    .0105263    .0995706          0          1
    state_35 |     10,223    .0634169     .239227          0          1
    state_36 |     10,223    .0366408    .1793697          0          1
-------------+---------------------------------------------------------
    state_37 |     10,223    .0095692    .0946782          0          1
    state_38 |     10,223    .0133786    .1114037          0          1
    state_39 |     10,223    .0479532    .2093071          0          1
    state_40 |     10,223    .0034143     .056031          0          1
    state_41 |     10,223    .0142219     .113192          0          1
-------------+---------------------------------------------------------
    state_42 |     10,223    .0030052    .0532437          0          1
    state_43 |     10,223    .0190971    .1323742          0          1
    state_44 |     10,223    .0686577    .2505065          0          1
    state_45 |     10,223    .0089666    .0902809          0          1
    state_46 |     10,223    .0244149    .1479849          0          1
-------------+---------------------------------------------------------
    state_47 |     10,223    .0027096    .0504307          0          1
    state_48 |     10,223    .0233706    .1466041          0          1
    state_49 |     10,223    .0203729    .1346761          0          1
    state_50 |     10,223    .0072081    .0819183          0          1
    state_51 |     10,223    .0020077    .0431063          0          1

. 
. set seed 1996

. 
. * Standardize Some Variables
. local vars dv_concern dv_behavior dv_restrictions auth_scale latentnsc1 latentnsc2 polengage_scale polint_scale polknow_scale

. foreach var of local vars {
  2.     egen mean_`var' = mean(`var')
  3.     egen sd_`var' = sd(`var')
  4.     generate z_`var' = (`var' - mean_`var') / sd_`var'
  5. }
(3,740 missing values generated)
(5,219 missing values generated)
(3,352 missing values generated)
(1,385 missing values generated)
(9,177 missing values generated)
(9,177 missing values generated)
(282 missing values generated)
(1,229 missing values generated)
(935 missing values generated)

. 
. ***** Table 1 Descriptive Statistics *****
. 
. * Sample Sizes (useable observations only)
. tab sample if (auth_scale != . | latentnsc2 != .) & polengage_scale != . & (dv_concern != . | dv_restrictions != . | dv_behavior != .)

     sample |      Freq.     Percent        Cum.
------------+-----------------------------------
    ANESGSS |        775        8.92        8.92
     Bovitz |        496        5.71       14.63
  Lucid2020 |      1,007       11.59       26.22
  Lucid2021 |      2,119       24.39       50.62
      MTurk |        546        6.29       56.90
        VSG |      3,744       43.10      100.00
------------+-----------------------------------
      Total |      8,687      100.00

. 
. * Alphas
. alpha auth1-auth4 if sample == "ANESGSS"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0717019
Number of items in the scale:            4
Scale reliability coefficient:      0.6629

. alpha auth1-auth5 if sample == "Lucid2020"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0842526
Number of items in the scale:            5
Scale reliability coefficient:      0.7378

. alpha auth1-auth8 if sample == "Lucid2021"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0604484
Number of items in the scale:            8
Scale reliability coefficient:      0.7423

. alpha auth1-auth4 if sample == "VSG"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0817513
Number of items in the scale:            4
Scale reliability coefficient:      0.6883

. alpha auth1-auth4 if sample == "MTurk"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0454346
Number of items in the scale:            4
Scale reliability coefficient:      0.7584

. alpha auth1-auth4 if sample == "Bovitz"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0254874
Number of items in the scale:            4
Scale reliability coefficient:      0.6240

. 
. alpha polint1-polint2 if sample == "Lucid2020"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0734526
Number of items in the scale:            2
Scale reliability coefficient:      0.8320

. alpha polint1-polint2 if sample == "Lucid2021"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0784034
Number of items in the scale:            2
Scale reliability coefficient:      0.8296

. alpha polint1-polint6 if sample == "VSG"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0499288
Number of items in the scale:            6
Scale reliability coefficient:      0.9554

. alpha polint1-polint3 if sample == "MTurk"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0350215
Number of items in the scale:            3
Scale reliability coefficient:      0.7565

. alpha polint1-polint3 if sample == "Bovitz"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0431443
Number of items in the scale:            3
Scale reliability coefficient:      0.7523

. 
. alpha polknow4-polknow8 if sample == "ANESGSS" // note: the first three knowledge items are pre-election, so missing

Test scale = mean(unstandardized items)

Average interitem covariance:     .0483769
Number of items in the scale:            5
Scale reliability coefficient:      0.6731

. alpha polknow1-polknow6 if sample == "Lucid2020"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0610431
Number of items in the scale:            6
Scale reliability coefficient:      0.7360

. alpha polknow1-polknow5 if sample == "Lucid2021"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0677815
Number of items in the scale:            5
Scale reliability coefficient:      0.7081

. alpha polknow1-polknow7 if sample == "VSG"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0594696
Number of items in the scale:            7
Scale reliability coefficient:      0.7892

. alpha polknow1-polknow8 if sample == "MTurk"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0413857
Number of items in the scale:            8
Scale reliability coefficient:      0.7557

. alpha polknow1-polknow8 if sample == "Bovitz"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0539215
Number of items in the scale:            8
Scale reliability coefficient:      0.7570

. 
. alpha dv_masking dv_distancing if sample == "Lucid2020"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0395013
Number of items in the scale:            2
Scale reliability coefficient:      0.8102

. alpha dv_masking dv_distancing dv_vaxstatus if sample == "Lucid2021"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0384375
Number of items in the scale:            3
Scale reliability coefficient:      0.5661

. alpha dv_masking dv_distancing dv_travel-dv_sanitize if sample == "MTurk"

Test scale = mean(unstandardized items)

Average interitem covariance:      .032979
Number of items in the scale:            8
Scale reliability coefficient:      0.7522

. alpha dv_masking dv_distancing dv_travel-dv_sanitize if sample == "Bovitz"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0351507
Number of items in the scale:            8
Scale reliability coefficient:      0.7427

. 
. alpha dv_businesses dv_tracking dv_lockdowns dv_maskmandates if sample == "Lucid2020"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0534972
Number of items in the scale:            4
Scale reliability coefficient:      0.8124

. alpha dv_businesses dv_tracking dv_lockdowns dv_maskmandates dv_vaxmandate if sample == "Lucid2021"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0738588
Number of items in the scale:            5
Scale reliability coefficient:      0.8922

. alpha dv_businesses dv_staterestrict-dv_testingreq if sample == "VSG"

Test scale = mean(unstandardized items)

Average interitem covariance:     .0965356
Number of items in the scale:            8
Scale reliability coefficient:      0.9430

. 
. * 5th to 95th Percentiles of Authoritarianism and Latent NSC
. sum auth_scale, det // 0 to 1

                         auth_scale
-------------------------------------------------------------
      Percentiles      Smallest
 1%            0              0
 5%            0              0
10%            0              0       Obs               8,838
25%          .25              0       Sum of wgt.       8,838

50%           .5                      Mean           .4921391
                        Largest       Std. dev.       .320342
75%          .75              1
90%            1              1       Variance        .102619
95%            1              1       Skewness      -.0059802
99%            1              1       Kurtosis       1.951514

. sum latentnsc2, det // 0.055 to 0.782

                         latentnsc2
-------------------------------------------------------------
      Percentiles      Smallest
 1%     .0155201              0
 5%     .0553126       .0043632
10%     .1453914       .0071583       Obs               1,046
25%     .3387757       .0073306       Sum of wgt.       1,046

50%     .4893718                      Mean           .4555281
                        Largest       Std. dev.      .2029025
75%     .5534478       .9438711
90%     .7083806       .9544292       Variance       .0411694
95%     .7823676       .9549724       Skewness      -.2249455
99%     .9129034              1       Kurtosis       2.952598

. 
. ***** SM1 - Key Variable Histograms *****
. histogram auth_scale, percent bin(4) by(sample, note("") col(3)) title("")

. histogram latentnsc2, percent bin(6) by(sample, note("") col(3)) title("") 

. histogram polengage_scale, percent bin(6) by(sample, note("") col(3)) title("") 

. histogram dv_concern, percent bin(3) by(sample, note("") col(3)) title("") 

. histogram dv_restrictions, percent bin(4) by(sample, note("") col(3)) title("") 

. histogram dv_behavior, percent bin(3) by(sample, note("") col(3)) title("") 

. 
. ***** Main Text Analyses & SM3 Regression Tables *****
. 
. * Set Up Multiple Imputation
. mi set mlong

. mi register imputed age education income male race sample_num
(1198 m=0 obs now marked as incomplete)

. mi impute chained (logit) male (mlogit) race sample_num (regress) age education income, add(25) 
note: variable sample_num contains no soft missing (.) values; imputing nothing

Conditional models:
         education: regress education i.sample_num i.race i.male age income
              race: mlogit race i.sample_num education i.male age income
              male: logit male i.sample_num education i.race age income
               age: regress age i.sample_num education i.race i.male income
            income: regress income i.sample_num education i.race i.male age

Performing chained iterations ...

Multivariate imputation                     Imputations =       25
Chained equations                                 added =       25
Imputed: m=1 through m=25                       updated =        0

Initialization: monotone                     Iterations =      250
                                                burn-in =       10

              male: logistic regression
              race: multinomial logistic regression
        sample_num: multinomial logistic regression
               age: linear regression
         education: linear regression
            income: linear regression

------------------------------------------------------------------
                   |               Observations per m             
                   |----------------------------------------------
          Variable |   Complete   Incomplete   Imputed |     Total
-------------------+-----------------------------------+----------
              male |       9681          542       542 |     10223
              race |       9898          325       325 |     10223
        sample_num |      10223            0         0 |     10223
               age |       9666          557       557 |     10223
         education |       9926          297       297 |     10223
            income |       9075         1148      1148 |     10223
------------------------------------------------------------------
(Complete + Incomplete = Total; Imputed is the minimum across m
 of the number of filled-in observations.)

. 
. * COVID-19 Concern, Authoritarianism 
. mi estimate: regress dv_concern c.auth_scale##c.polengage_scale c.age##c.polengage_scale i.male##c.polengage_scale i.race##c.polengage_scale c.education##c.polengage_scale c.income##c.polengage_scale i.sampl
> e_num state_1-state_51

Multiple-imputation estimates                   Imputations       =         25
Linear regression                               Number of obs     =      5,484
                                                Average RVI       =     0.0037
                                                Largest FMI       =     0.0614
                                                Complete DF       =       5412
DF adjustment:   Small sample                   DF:     min       =   2,839.85
                                                        avg       =   5,250.52
                                                        max       =   5,406.85
Model F test:       Equal FMI                   F(  71, 5409.7)   =       8.30
Within VCE type:          OLS                   Prob > F          =     0.0000

------------------------------------------------------------------------------------------------
                    dv_concern | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------------------------+----------------------------------------------------------------
                    auth_scale |   .1698144   .0488236     3.48   0.001     .0741006    .2655282
               polengage_scale |   .2791857   .0989894     2.82   0.005     .0851264    .4732451
                               |
c.auth_scale#c.polengage_scale |  -.4280247   .0594535    -7.20   0.000    -.5445775   -.3114719
                               |
                           age |   .2139976    .074115     2.89   0.004     .0687024    .3592929
               polengage_scale |          0  (omitted)
                               |
       c.age#c.polengage_scale |  -.2840209   .0953901    -2.98   0.003     -.471024   -.0970178
                               |
                        1.male |   .0042296    .032134     0.13   0.895    -.0587659    .0672252
               polengage_scale |          0  (omitted)
                               |
        male#c.polengage_scale |
                            1  |  -.0799572   .0392459    -2.04   0.042    -.1568951   -.0030194
                               |
                          race |
                            1  |  -.1458162   .0588068    -2.48   0.013    -.2611012   -.0305311
                            2  |   .0011709   .0675823     0.02   0.986    -.1313178    .1336597
                            3  |  -.0224712   .0734298    -0.31   0.760    -.1664235    .1214811
                               |
               polengage_scale |          0  (omitted)
                               |
        race#c.polengage_scale |
                            1  |   .1194261   .0746888     1.60   0.110    -.0269943    .2658464
                            2  |   .0907412   .0888589     1.02   0.307    -.0834585    .2649408
                            3  |   .0342578   .0953161     0.36   0.719    -.1526006    .2211163
                               |
                     education |  -.0683349   .0572198    -1.19   0.232    -.1805094    .0438395
               polengage_scale |          0  (omitted)
                               |
 c.education#c.polengage_scale |   .1289616   .0703315     1.83   0.067    -.0089172    .2668403
                               |
                        income |  -.0681065   .0614003    -1.11   0.267    -.1884949    .0522818
               polengage_scale |          0  (omitted)
                               |
    c.income#c.polengage_scale |   .0020125   .0755249     0.03   0.979    -.1460767    .1501017
                               |
                    sample_num |
                            2  |  -.1528253   .0209469    -7.30   0.000    -.1938909   -.1117598
                            5  |  -.1811252    .018906    -9.58   0.000    -.2181887   -.1440616
                            6  |  -.0749138   .0146682    -5.11   0.000    -.1036705   -.0461572
                               |
                       state_1 |   .0054104    .159844     0.03   0.973    -.3079492    .3187699
                       state_2 |  -.0337456   .1459829    -0.23   0.817     -.319932    .2524409
                       state_3 |   .0731501   .1466206     0.50   0.618    -.2142864    .3605867
                       state_4 |  -.0834837   .1421906    -0.59   0.557    -.3622356    .1952682
                       state_5 |   .0179579    .140309     0.13   0.898    -.2571053    .2930211
                       state_6 |   .0082332   .1436126     0.06   0.954    -.2733064    .2897728
                       state_7 |   .0279018   .1480323     0.19   0.851    -.2623022    .3181059
                       state_8 |   .1703934   .1704803     1.00   0.318    -.1638174    .5046041
                       state_9 |    .083056   .1549788     0.54   0.592    -.2207658    .3868778
                      state_10 |   .0073475   .1404176     0.05   0.958    -.2679286    .2826236
                      state_11 |  -.0004104   .1414739    -0.00   0.998    -.2777573    .2769366
                      state_12 |   .0732503   .1578026     0.46   0.643    -.2361071    .3826077
                      state_13 |   .0502092   .1441543     0.35   0.728    -.2323924    .3328107
                      state_14 |  -.0111042   .1477027    -0.08   0.940     -.300662    .2784536
                      state_15 |   .0343601   .1412601     0.24   0.808    -.2425677    .3112879
                      state_16 |  -.0080554   .1429682    -0.06   0.955    -.2883318     .272221
                      state_17 |   .0295981   .1455978     0.20   0.839    -.2558334    .3150295
                      state_18 |   .0620919   .1452015     0.43   0.669    -.2225627    .3467466
                      state_19 |  -.0373625   .1477189    -0.25   0.800    -.3269522    .2522272
                      state_20 |    .015938   .1431355     0.11   0.911    -.2646662    .2965423
                      state_21 |   .0957577   .1429317     0.67   0.503    -.1844471    .3759624
                      state_22 |    .080559   .1509398     0.53   0.594    -.2153447    .3764627
                      state_23 |  -.0318926    .141428    -0.23   0.822    -.3091496    .2453645
                      state_24 |   -.024006   .1440517    -0.17   0.868    -.3064065    .2583944
                      state_25 |  -.0246559   .1428907    -0.17   0.863    -.3047803    .2554685
                      state_26 |   .0538343   .1479543     0.36   0.716    -.2362167    .3438852
                      state_27 |  -.0486302   .1565793    -0.31   0.756    -.3555896    .2583292
                      state_28 |  -.0012074   .1418671    -0.01   0.993    -.2793251    .2769104
                      state_29 |  -.1785343   .1963053    -0.91   0.363    -.5633722    .2063037
                      state_30 |  -.0015901   .1521536    -0.01   0.992    -.2998733    .2966931
                      state_31 |   .0119497   .1521974     0.08   0.937    -.2864194    .3103189
                      state_32 |   .0261768   .1420213     0.18   0.854    -.2522432    .3045968
                      state_33 |  -.0565228   .1498138    -0.38   0.706    -.3502191    .2371735
                      state_34 |   .0004768   .1463846     0.00   0.997     -.286497    .2874506
                      state_35 |   .0570415    .140732     0.41   0.685    -.2188509     .332934
                      state_36 |   .0446526   .1414324     0.32   0.752    -.2326129    .3219181
                      state_37 |   .0971401   .1483953     0.65   0.513    -.1937755    .3880558
                      state_38 |  -.0498003   .1445718    -0.34   0.731    -.3332203    .2336197
                      state_39 |   .0272937   .1408788     0.19   0.846    -.2488867    .3034742
                      state_40 |   .1023423    .159602     0.64   0.521    -.2105429    .4152275
                      state_41 |   .0082893   .1448058     0.06   0.954    -.2755895    .2921681
                      state_42 |   .0591517    .155159     0.38   0.703    -.2450233    .3633267
                      state_43 |   .0015716   .1432004     0.01   0.991      -.27916    .2823032
                      state_44 |  -.0098265   .1405358    -0.07   0.944    -.2853345    .2656814
                      state_45 |  -.0265837   .1465046    -0.18   0.856    -.3137928    .2606254
                      state_46 |    .006442   .1423456     0.05   0.964    -.2726138    .2854978
                      state_47 |   .1069835    .163897     0.65   0.514    -.2143214    .4282884
                      state_48 |  -.0487794    .142102    -0.34   0.731    -.3273576    .2297988
                      state_49 |   .0110171   .1425376     0.08   0.938    -.2684151    .2904493
                      state_50 |   .0555716   .1481115     0.38   0.708    -.2347877    .3459309
                      state_51 |   -.029108   .1704606    -0.17   0.864    -.3632802    .3050643
                         _cons |   .5838799   .1611747     3.62   0.000     .2679114    .8998484
------------------------------------------------------------------------------------------------

. quietly mimrgns, at(auth_scale=(0 1) polengage_scale=(0 .25 .5 .75 1)) coeflegend post

.     lincom _b[6._at]-_b[1._at]

 ( 1)  - 1bn._at + 6._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1698144   .0488236     3.48   0.001     .0741006    .2655282
------------------------------------------------------------------------------

.     lincom _b[7._at]-_b[2._at]

 ( 1)  - 2._at + 7._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0628082   .0348338     1.80   0.071      -.00548    .1310965
------------------------------------------------------------------------------

.     lincom _b[8._at]-_b[3._at]

 ( 1)  - 3._at + 8._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.0441979   .0220201    -2.01   0.045    -.0873663   -.0010296
------------------------------------------------------------------------------

.     lincom _b[9._at]-_b[4._at]

 ( 1)  - 4._at + 9._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.1512041    .014079   -10.74   0.000    -.1788047   -.1236035
------------------------------------------------------------------------------

.     lincom _b[10._at]-_b[5._at]

 ( 1)  - 5._at + 10._at = 0

------------------------------------------------------------------------------
             | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |  -.2582103   .0187987   -13.74   0.000    -.2950634   -.2213572
------------------------------------------------------------------------------

. 
end of do-file

. exit, clear
